
Head of Community Recognition & Development at Thinkers360.
Thinkers360 is the world’s premier platform for thought leaders and influencers to share opportunities, promote and advance their expertise. Organizations and agencies use our tools for finding and working with the world’s top thought leaders as well as showcasing their own corporate executives, thought leaders and content to drive brand eminence and revenue growth.
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Available For: Speaking
Travels From: Cartagena, Colombia
Speaking Topics: ...
| Yessenia Sembergman | Points |
|---|---|
| Academic | 0 |
| Author | 30 |
| Influencer | 7 |
| Speaker | 0 |
| Entrepreneur | 0 |
| Total | 37 |
Points based upon Thinkers360 patent-pending algorithm.
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Associate, Community Recognition & Development of Thinkers360
August 10, 2023, Estefania Vergara Sembergman worked with Yessenia Sembergman at the same company
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AI and Embedded Connectivity: A New Era of Smart Devices
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Imagine your fitness tracker catches an irregular heartbeat and immediately pings your doctor, while you're out hiking, miles away from any cell tower. Sounds like science fiction? It's not. It's already here. Today's devices don't just respond to commands; they analyze, learn, and stay connected no matter where you are. AI in smart devices is fundamentally changing how we live and work.
But here's the thing: all that processing power is useless without dependable embedded connectivity holding it together. In this piece, we're diving into how smart device technology, AI and IoT integration, and persistent network access are building truly independent systems, the kind that will define the future of connected devices.
Sure, understanding why embedded connectivity makes AI reliable matters. But the harder question? Actually building a system where sensors, processing, power management, and connectivity all work together smoothly at scale. That's where the real engineering happens.
Simple automation is ancient history at this point. Early smart gadgets operated on basic if-this-then-that logic. Now? Edge inference lets your devices crunch data right there on the hardware, and agentic workflows mean your gadget makes decisions and takes action without checking in with the cloud first. The on-device AI market hit US$ 10.1 billion in 2024, jumping about 22 percent from 2023. That tells you this shift isn't just buzz, it's real, it's massive, and it's already scaling.
Here's what nobody talks about enough: raw computational horsepower means absolutely nothing if your device can't grab fresh data or send critical alerts when needed. Embedded connectivity keeps your models current, routes around network hiccups, and maintains uptime through multi-path resilience. You end up with faster response times, stronger privacy, and way less reliance on cloud infrastructure. Real-time decisions still happen locally, but connectivity keeps every device synchronized and up-to-date.
Edge AI executes models directly on your device. TinyML compresses those models for ultra-low-power microchips. eSIM and iSIM remove the need for physical SIM cards. LPWAN extends battery life for years at a time. MQTT manages lightweight messaging. Matter brings smart home protocols under one roof. Digital twins let you simulate device behavior before actual deployment.
Once you've mapped your tech stack, the next big choice determines whether your AI responds in milliseconds or chokes exactly when you need it most: picking the right connectivity architecture for your latency needs, privacy goals, and budget constraints.
Think of sensors as your device's sensory organs, IMUs measure movement, cameras capture visual information, microphones detect audio anomalies. Selecting the right mix means finding the sweet spot between signal clarity and power consumption. For processing, you're choosing MCUs for lighter workloads, MPUs when things get heavier, or NPUs when you need specialized AI acceleration. Memory limitations? They matter more than most people realize. Model compression keeps everything running without choking your hardware.
Travel a lot for work? Using an eSIM from Holafly simplifies international connectivity, letting your AI-powered productivity tools sync seamlessly across borders without scrambling for local SIM cards or gambling on sketchy hotel Wi-Fi. Industrial sensors often use NB-IoT or LTE-M to stretch battery life across years while maintaining solid uplinks. Indoor gadgets typically rely on BLE or Wi-Fi, mobile apps need 5G or LTE, and remote infrastructure increasingly uses satellite IoT when traditional networks can't reach.
Smart devices transmit insights, not massive raw data dumps. Feature extraction happens on-chip first, then compressed data gets sent upstream. Models follow a clear lifecycle: you train in the cloud, validate on actual hardware, deploy through OTA updates, monitor real-world performance, and rollback if something breaks. Edge caching stores frequently accessed data locally, slashing both response time and bandwidth expenses.
Connectivity decisions shape AI performance dramatically, but one technology quietly enables worldwide deployment at scale, eliminating the logistical nightmares and regional headaches that have hampered IoT growth for years.
Collision avoidance needs sub-100ms reactions; wellness reminders can tolerate a few seconds. Map each task to its latency requirement, then architect accordingly. The market should reach US$ 30.6 billion by 2029, representing a compound annual growth rate (CAGR) of 25 percent, powered by use cases where every single millisecond matters. Execute time-critical inference locally; use connectivity for synchronizing context, not making instant decisions.
Keep sensitive information on-device. Transmit embeddings or statistical aggregates, mathematical representations that preserve usefulness while protecting raw data. Differential privacy adds formal mathematical protections, secure enclaves safeguard model weights, and on-device redaction strips identifying details from audio or video before transmission.
Compression methods, event-triggered transmissions, and adaptive sampling slash your data costs significantly. Delta updates send only the changes to models, not complete re-downloads. Connectivity-aware AI switches between resource-intensive and lightweight models depending on network conditions or data plan restrictions, basically, your device learns when to communicate with the cloud and when to stay quiet.
Technical foundations sound great on paper, but proof matters more than theory. Here are actual real-world deployments where AI and embedded connectivity are solving problems that competitors wrote off as impossible.
eSIMs enable remote carrier switching and improved durability by eliminating fiddly card slots. iSIMs take it further, they're integrated directly into the primary chip, reducing hardware costs and power consumption while strengthening security. Consumer electronics typically adopt eSIM; industrial sensors and medical wearables often prefer iSIM for longevity and dependability.
Forget managing different SKUs for each country. Remote provisioning means one hardware design ships worldwide, then activates the appropriate carrier profile upon arrival. You provision during manufacturing, activate on first boot, switch carriers remotely when coverage changes, and handle clean decommissioning at end-of-life. It's quicker, cheaper, and dramatically less prone to mistakes.
Seeing what's achievable inspires, sure, but actually shipping it demands navigating tough trade-offs around model selection, deployment infrastructure, and reliability engineering that separate prototypes from production-ready systems.
Arrhythmia detection runs locally; only genuine anomalies trigger cellular notifications to medical staff. On-device audio processing identifies cough patterns or breathing difficulties without streaming private health information anywhere. Emergency communication activates automatically, and monitoring dashboards stay current without constant check-ins.
Shelf-monitoring cameras use local AI to spot empty inventory. When store Wi-Fi fails, and trust me, it does, cellular backup keeps loss-prevention and cold-chain monitoring operational. Uptime becomes non-negotiable when spoilage costs you thousands every hour.
Vibration sensors mounted on motors run compact neural networks that spot failure patterns early. They transmit feature vectors and warning flags through NB-IoT, not enormous raw waveforms. Bandwidth stays manageable, security improves, and maintenance teams receive advance warnings that prevent expensive downtime.
What is embedded connectivity, and how is it different from Wi-Fi-only devices?
Embedded connectivity incorporates cellular (eSIM/iSIM) or LPWAN technology directly into the device, guaranteeing reliable connection anywhere, even where Wi-Fi doesn't exist or suddenly fails.
How does on-device AI improve privacy compared to cloud AI?
Processing occurs locally, meaning sensitive data stays on your device. Only anonymized insights or statistical summaries get transmitted, massively reducing vulnerability to data breaches.
Which is better for IoT devices: eSIM or iSIM?
eSIM provides flexibility and simpler adoption; iSIM delivers reduced cost, superior power efficiency, and enhanced security, perfect for industrial or medical applications requiring extended lifespans.
AI in smart devices combined with embedded connectivity isn't just making gadgets incrementally smarter, it's building autonomous systems that perceive, reason, and perform reliably anywhere. From health monitors that literally save lives to industrial sensors that prevent catastrophic equipment failures, smart device technology founded on robust AI and IoT integration creates tangible value today. The future of connected devices promises to be more personalized, more private, and exponentially more capable. If you're developing products right now, the convergence of edge intelligence and persistent connectivity isn't optional, it's your competitive foundation.
Tags: AI, IoT
How Your Physical Environment Shapes Focus, Wellbeing, and Performance More Than We Think
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We tend to think of mindset as something internal — shaped by habits, routines, and personal discipline. But what often gets skipped over is how much our physical environment shapes how we think and feel.
From stress levels and focus to creativity and emotional regulation, the spaces we inhabit quietly shape our state of mind every day. In an era when many people spend most of their time indoors — often in the same work-from-home office space where they sleep, eat, and unwind — the design of our surroundings has become inseparable from mental wellbeing.
The biophilia trend in interior design is grounded in a simple idea: humans have an innate connection to nature, and we function better when our environments reflect that relationship.
In essence, it brings elements of the natural world into built spaces through materials, textures, light, color, and pattern. We’re talking stone, timber, organic forms, botanical design, and finishes that reference nature without feeling literal or decorative.
Research has consistently linked exposure to natural elements with reduced stress, improved concentration, and enhanced cognitive performance. Even subtle references to nature — rather than direct access to it — can really influence your mood and mental clarity.
Biophilic design is less about aesthetics and more about creating spaces that support human behaviour and wellbeing.
Our physical environment plays a direct role in ‘cognitive stamina’: our decision-making quota, emotional regulation, concentration, stress resilience and ability to retain information. This is especially in hybrid office settings where you’re constantly thinking critically and making decisions all day.
Visual clutter, harsh lighting (or lack of daylight), mundane design, and poorly considered layouts quietly increase mental load, accelerating decision fatigue and reducing focus over time. In contrast, environments designed to feel calm, ordered, and supportive help conserve cognitive energy, making it easier to think strategically and recover between tasks.
As remote and hybrid work becomes the norm post-COVID-19, you want a workplace to directly impact your productivity and well-being. This shift from decoration to performance is where design becomes a leadership tool — and where frameworks like nature-inspired design offer a practical way to create spaces that support both productivity and wellbeing.
The most effective applications are often subtle. Bringing nature indoors involves doing just that — starting with greenery.
Natural materials such as stone-look tiles, warm timber tones, and textured surfaces introduce visual calm and tactile comfort. Nature-inspired wall finishes help soften hard lines and create visual depth.
This is particularly impactful in high-use environments like bathrooms, kitchens, and home offices, where mental load tends to accumulate. A thoughtfully designed space can act as a buffer against stress rather than contributing to it.
Beyond materials and finishes, spatial organisation directly influences our mental clarity. Studies in environmental psychology suggest that visual clutter increases cognitive load, making it harder to focus and process information.
A clean room feels better because it actively reduces mental noise. This is especially relevant when organizing small spaces, where poor layout or excess visual detail can quickly feel overwhelming.
To apply this to your own space, clean lines, purposeful storage, and simple color palettes allow natural textures and finishes to stand out, creating spaces that feel calm rather than chaotic.
Our environment needs to be considered beyond a place we spend our time in, but rather a part of daily life that actively influences how our brain functions. The materials we surround ourselves with, the level of visual order in a space, and the overall sensory experience all affect mental clarity, emotional regulation, and cognitive endurance. These choices shape how easily we can focus, recover, be creative, and make decisions throughout the day.
As our homes continue to function as workplaces, places of rest, and social settings, the responsibility of our environment grows. When spaces are designed with intention — prioritising calm, balance, and mental ease — they don’t just look better; they support how we think, feel, and perform on a daily basis.
Tags: Health and Wellness
Invisible Metrics That Top Leaders Measure That Others Overlook
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Most leadership dashboards look impressive. Revenue curves. Output charts. Delivery timelines. These indicators feel solid and objective, yet they rarely explain why one organization adapts smoothly while another stalls under pressure. Experienced leaders learn this lesson early. The health of a company shows up first in places that rarely appear on reports.
The strongest leadership teams track invisible metrics. These signals reveal how people think, speak, and connect when conditions change. They surface risks before performance drops and highlight strength before growth accelerates. This article explores the measures that sit beneath productivity and finance, and explains how advanced leaders use them to steer organizations with precision.
Seeing invisible metrics requires structured thinking and systems-level judgment. This skill develops through experience, but education accelerates it. Advanced training in Business Administration exposes leaders to organizational theory, behavioral economics, governance models, and strategic analysis. These disciplines train leaders to look beyond surface performance.
Doctoral-level programs take this further by teaching how to evaluate organizations as living systems. They emphasize causal thinking, longitudinal patterns, and second-order effects. Leaders learn how culture shapes decisions, how incentives distort behavior, and how informal networks move faster than formal hierarchies.
For future Business Administration experts, an online DBA accredited degree provides a strong foundation for this level of insight. Programs like this focus on applied research, executive decision-making, and real organizational complexity. Graduates develop the ability to translate abstract signals into strategic action. That capability separates operational managers from true organizational architects.
Psychological safety rarely appears in performance reviews, yet it determines how teams behave when stakes rise. Leaders who measure it gain early insight into execution risk.
This metric reflects whether people feel safe to speak openly, challenge assumptions, and surface problems early. When safety is high, teams correct course quickly. When it erodes, issues stay hidden until they become expensive.
Top leaders observe psychological safety through behavior rather than surveys alone. They watch who speaks in meetings and who stays quiet. They notice how errors get discussed. They track how often frontline teams escalate concerns without fear of blame.
Indicators often include patterns like:
These signals help leaders predict delivery quality and innovation capacity. Teams with strong psychological safety adapt faster, share context freely, and execute with fewer surprises.
Every organization runs on stories. Strategy decks and mission statements matter less than the narrative people repeat when leadership leaves the room. Narrative coherence measures how consistently teams understand direction, priorities, and purpose.
When narratives fracture, execution slows. Teams pull in different directions while believing they align. Leaders who track this metric listen carefully to how people describe goals in their own words.
Narrative coherence shows up in language consistency across departments. It appears in how middle managers explain trade-offs. It becomes visible during change initiatives when teams either connect actions to purpose or treat them as isolated tasks.
Strong leaders test narrative alignment through informal conversations, leadership skip-levels, and cross-functional reviews. They listen for shared meaning, not rehearsed slogans. When narratives align, coordination improves without additional process. When they diverge, friction rises even if metrics still look healthy.
Org charts describe authority, but real work moves through networks. Network strength measures how information flows, who influences decisions, and where bottlenecks form. This metric becomes critical during periods of growth or transformation.
Leaders who understand informal networks know where to intervene and where to step back. They identify connectors who spread context quickly. They notice isolated teams that miss critical information. They see how trust moves faster than policy.
Network strength becomes visible through collaboration patterns, response speed across teams, and dependency clusters. Leaders often map this informally at first by observing who people turn to under pressure. Over time, these patterns guide staffing decisions, change rollouts, and leadership development.
Ignoring network strength leads to failed initiatives that look sound on paper. Measuring it allows leaders to design change that respects how work actually happens.
Decision latency measures how long it takes to move from information to action. It reflects clarity, trust, and authority distribution. High latency often signals fear, misaligned incentives, or unclear ownership.
Top leaders track this metric across different decision types. Strategic choices, operational adjustments, and customer responses each reveal different constraints. When latency increases, leaders investigate causes rather than pushing harder.
Common signals include repeated re-approvals, excessive alignment meetings, or decisions that reverse quickly. These patterns suggest uncertainty or weak accountability. Reducing latency improves adaptability and employee confidence.
Leaders who measure decision latency gain insight into structural issues before they impact results. They redesign decision rights, simplify governance, or clarify priorities based on these observations.
Output measures what gets delivered. Learning velocity measures how quickly teams improve. In complex environments, learning speed predicts long-term performance more accurately than short-term output.
This metric reflects how teams process feedback, update assumptions, and integrate new information. Leaders observe learning velocity through iteration cycles, post-project reviews, and behavior changes after failure.
High learning velocity appears when teams adjust methods without defensiveness. It shows up when feedback leads to visible improvement rather than surface compliance. Leaders who value this metric invest in reflection, coaching, and safe experimentation.
Organizations that track learning velocity build resilience. They recover faster from setbacks and compound improvement over time.
Tags: Analytics, Management, Leadership
Emotional Intelligence as a ‘Soft Skill’ for Improved Leadership and Hard Results
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Leadership education still leans heavily on strategy frameworks, financial literacy, and operational control. Those areas matter. Yet they rarely explain why two leaders with similar credentials produce very different outcomes. One builds loyalty and momentum. The other manages constant friction and quiet disengagement.
The difference often lies in emotional intelligence. Many still label it a soft skill, which makes it sound optional or intuitive. In reality, emotional intelligence functions as a practical leadership capability. It shapes trust, decision quality, and execution speed. Teams with emotionally intelligent leaders resolve tension faster, communicate with more precision, and stay focused under pressure. These outcomes translate into results that appear hard and measurable, even though the skill behind them feels human and subtle.
The problem lies in how leadership development treats emotional intelligence. It often appears as a workshop topic rather than a core discipline. That gap leaves capable leaders underprepared for the human complexity that defines modern organizations.
Leadership rarely improves through experience alone. Experience can reinforce habits, both effective and limiting. Advanced education provides structure for reflection, language for complex dynamics, and frameworks that connect behavior to outcomes. In business leadership, this level of education supports better judgment in moments that carry risk, ambiguity, or interpersonal strain.
Programs that focus on leadership at an advanced level tend to integrate psychology, ethics, and organizational behavior into strategic thinking. This integration matters because leadership decisions often trigger emotional responses long before they show financial impact. Leaders who understand this sequence gain more control over outcomes.
An advanced program, such as an online doctorate in leadership, addresses this gap directly. It equips future business administration experts with tools to study leadership as a system rather than a role. Coursework often examines how values, emotional awareness, and communication patterns influence performance across teams and institutions. This approach suits leaders who already operate at a high level and want to refine how they influence people at scale.
Education at this depth reframes emotional intelligence as a leadership instrument. It becomes something to analyze, practice, and apply with intention.
Emotional intelligence shows up in observable behaviors. Leaders demonstrate it when they recognize emotional cues in meetings, respond without escalation, and adjust communication based on context. These behaviors create patterns that teams notice quickly.
Trust grows when leaders respond consistently and listen without defensiveness. Conflict resolution improves when leaders separate emotion from accusation and guide conversations toward shared goals. Team performance accelerates when people spend less energy on uncertainty and more on execution.
Organizations often measure these outcomes not just through KPIs, but also indirectly through engagement surveys or retention patterns. Even without formal metrics, leaders can observe faster alignment after decisions and fewer unresolved tensions. Emotional intelligence acts as a multiplier. It increases the effectiveness of strategy by reducing friction in how that strategy travels through people.
This advantage becomes clearer in high-pressure environments. Leaders who regulate their own reactions set the emotional tone for others. Calm responses invite clarity. Reactive responses invite hesitation. Over time, teams learn which environment they operate in and adjust effort accordingly.
Emotional intelligence loses credibility when treated as abstract or inspirational. It gains power when embedded into daily leadership routines. Leaders practice it during performance conversations, cross-functional negotiations, and moments of disagreement.
One practical shift involves how leaders ask questions. Open questions invite information and signal respect. Closed questions signal control and limit insight. Another shift involves timing. Leaders who pause before responding create space for better judgment. This pause often prevents misunderstandings that cost time later.
Feedback conversations offer another example. Leaders with emotional intelligence address behavior without attacking identity. They focus on impact rather than intent. This approach preserves dignity while still driving accountability.
These practices require discipline. They also require self-awareness, which develops through reflection and feedback. Leaders who seek input on their own behavior model the learning mindset they expect from others.
Conflict reveals leadership quality quickly. Avoidance allows issues to harden. Aggression escalates them. Emotional intelligence offers a third path that focuses on resolution and learning.
Effective leaders acknowledge tension early. They name the issue without assigning blame. This acknowledgment reduces speculation and signals fairness. During discussion, they listen for underlying concerns rather than surface positions. This skill often uncovers shared priorities that move conversations forward.
Emotionally intelligent leaders also manage their own responses during conflict. They recognize triggers and regulate tone. This regulation keeps discussions productive, even when the stakes feel high.
Common behaviors that support this approach include:
These actions slow conversations slightly, yet they save time by preventing repeated disputes. Over time, teams learn to address issues directly rather than around corners.
Emotional intelligence influences culture through repetition. Leaders model behaviors. Teams mirror them. Over time, these patterns define how work happens.
Organizations with emotionally intelligent leadership often experience smoother collaboration across functions. Decisions move faster because trust reduces the need for excessive validation. Change initiatives gain traction because leaders address concerns openly rather than dismissing them.
Leaders can strengthen this impact by aligning emotional intelligence with performance expectations. Clear standards for communication, feedback, and decision-making reinforce consistency. Training programs that connect emotional intelligence to business outcomes further legitimize its role.
Tags: Management, Leadership, Education
Practical Tips for Preventing Pain and Discomfort When Working a Desk Job
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Modern work has completely changed the way we move our bodies.
The desk job - historically deemed physically “safe” - has become one of the most common contributors to chronic pain, stiffness, injuries, and fatigue. Hours of sitting, limited movement, incorrect posture, and sustained screen use place unique demands on the body, particularly on the neck, shoulders, lower back, hips, and wrists.
For desk job injuries, it’s not about sudden falls like standing jobs - it’s about accumulation. Small physical stresses, repeated daily, compound over time. The result is often discomfort, and in the long run, it’s its own injury and leads to bigger health implications down the track. Maintaining your physical health in a desk job requires a deliberate, structured approach rather than reactive fixes.
Below, we explore the core strategies that, together, form a practical framework for protecting your body in a desk-based role.
Desk work concentrates physical load in very specific areas of the body. Movement is limited, yes, but muscle activation is sustained and often asymmetrical. Over time, this creates imbalance - tightness in some areas, weakness in others. Our body compensates other parts of the body to make up for imbalances, but what that also does is contribute to long-term conditions like hip bursitis, joint dysfunctions, muscle strains, or long-lasting lower back problems.
The goal isn’t to eliminate sitting. It’s to offset it intelligently. Each strategy below addresses a different aspect of that imbalance.
One of the most persistent myths of office work is that sitting itself is the problem. In reality, static sitting is the issue. Remaining in any position - good or bad - for too long places stress on joints, muscles, and connective tissue.
Movement doesn’t need to be intense to be effective. Frequency matters more than intensity.
Ergonomics tends to be brushed over at first, but there’s a reason why most companies are required to emphasise its importance. A poorly arranged workstation forces the body to compensate all day long - and it’s never really at the front of your mind in the meantime.

Image credit: U.S. Bureau of Labor Statistics
In 2020, 42.7 percent of workers in the United States sat down for a living, according to the U.S. Bureau of Labor Statistics. Given how much technology has evolved since then, we can only imagine more ‘desk jobs’ now.
Ergonomics reduces unnecessary strain between movements.
Many desk workers rely on a single workout to “undo” a full day of inactivity. There’s not denying it: exercise is valuable, but it can’t fully counterbalance eight or more hours of minimal movement.
Instead, consistent micro-movement throughout the day plays a critical role.
These small actions keep joints lubricated, muscles engaged, and blood circulation active, and contribute to a healthier mindset throughout the working day.
Tip: Look into furniture that will contribute to an ergonomic working environment, such as a standing desk. Sure, they’re not easy on the wallets, but neither is a chronic injury caused by years of poor posture.
Posture is often framed as something to “hold.” In reality, good posture is dynamic. What do we mean by this? Rigidly sitting upright all day can be just as problematic as slouching. The body benefits from gentle, frequent adjustments.
The most sustainable posture is one that changes.
Desk jobs don’t just affect the upper body. Prolonged sitting shortens hip flexors, reduces glute activation, and alters pelvic positioning - all of which can contribute to lower back and hip discomfort.
Lower body engagement supports spinal alignment and reduces load on the lower back.
Dehydration subtly increases muscle stiffness and fatigue. It also discourages movement - people tend to move less when tired or uncomfortable. Yes, you can be ticking the exercise and healthy diet boxes, but if you’re poorly hydrated and sleep deprived, you’re hindering the benefits to yourself.
Physical and mental resilience is built as much through recovery as through activity.
Desk-related discomfort can often be dismissed as “part of the job.” That mindset delays intervention and allows small issues to become chronic. Early response matters.
Preventive action is far easier than treating an injury.
Maintaining quality physical health in a desk job isn’t just about exercising before and after work. It’s about layering small, practical strategies that work together to keep your body healthy while sitting for most of the day.
Much like managing complexity in business or technology, success comes from understanding patterns, not chasing quick fixes.
When movement, ergonomics, recovery, proactiveness, and awareness are treated as an integrated system, desk work becomes far more sustainable - physically and professionally.
The desk job doesn’t have to be a slow trade-off between productivity and health. With intentional design and consistent habits, it can support both.
Tags: Future of Work, Health and Wellness, Healthcare
The Strategic Shift: Why Modern Talent Acquisition Demands Contact Intelligence
Sponsored Post by Signalhire
Talent acquisition has fundamentally changed. The days of posting job descriptions and waiting for applications are over. Today's competitive hiring landscape requires a proactive approach where recruiters source, engage, and convert candidates before they even know they're looking for new opportunities.
Yet most organizations still approach hiring reactively. They wait for roles to open, scramble to fill pipelines, and compete for the same active candidates everyone else is chasing. This reactive model creates delays, drives up costs, and often results in settling for "good enough" rather than exceptional.
The organizations winning the talent war have made a strategic shift. They've moved from reactive hiring to continuous talent intelligence. They're building relationships with potential candidates months or years before positions open. And they're using contact intelligence to make this approach scalable.
This isn't about technology replacing human judgment. It's about arming talent acquisition teams with the intelligence they need to operate strategically rather than constantly firefighting.
When a critical role opens, most companies follow the same playbook. Post the job. Review applications. Screen candidates. Schedule interviews. The entire process takes 40-60 days on average, and that's assuming everything goes smoothly.
But the real cost isn't just time. It's opportunity cost.

Every day a revenue-generating role sits vacant, your company loses potential income. Every week, a critical technical position remains unfilled, projects stall and timelines slip. Every month you operate without key leadership, strategic initiatives languish.
Then there's the quality cost. When you're hiring reactively under pressure, you're limited to whoever happens to be actively job searching right now. The best candidates, the ones currently thriving in their roles, aren't checking job boards. They're busy doing excellent work for your competitors.
Reactive hiring forces you to choose from a constrained pool rather than pursuing the ideal candidates your organization actually needs.
Forward-thinking talent acquisition teams have rejected the reactive model entirely. Instead, they're building continuous talent pipelines for critical roles, identifying high-potential candidates long before positions open.
This approach requires fundamentally different infrastructure. You can't build relationships at scale without knowing who to build relationships with. You can't engage passive candidates without having their contact information. And you can't move quickly when a role opens if you're starting from zero.
Strategic pipeline building means identifying potential candidates based on specific criteria,their current role, skills, company, location, and career trajectory. It means having direct contact information so you can reach decision-makers personally rather than competing with hundreds of other recruiters in LinkedIn InMail.
The most sophisticated teams are researching potential candidates systematically, building databases of qualified talent segmented by role type, skill set, and readiness to move. When a position opens, they're not starting from scratch. They're activating existing relationships.
This transforms hiring from a frantic sprint into a strategic process where you control timing, quality, and outcomes.

Strategic pipeline building only works if you can actually contact the people you've identified. This is where most recruitment strategies break down.
Traditional sourcing finds names and titles. But names and titles don't build relationships. Direct communication does. And direct communication requires verified contact information, professional email addresses and phone numbers that actually reach the person you're trying to engage.
The challenge is scale. Manually researching contact information for hundreds of potential candidates is impossibly time-consuming. Generic email addresses (info@company.com) go to gatekeepers, not decision-makers. And outdated contact data wastes time on bounced emails and disconnected numbers.
Contact intelligence solves this infrastructure problem. Rather than manually hunting for each person's email address and phone number, strategic recruiters leverage aggregated professional contact databases that provide verified, current information at scale.
This isn't just about efficiency, though saving hours per candidate adds up quickly. It's about making proactive recruitment actually feasible. You can't build a strategic pipeline if every candidate requires three hours of manual research just to find their contact information.
Generic talent pools don't work for specialized hiring. If you're recruiting for niche technical skills, specific industry experience, or leadership roles in particular sectors, you need targeted approaches that reflect those specializations.
This is where industry and company-specific talent mapping becomes critical. Rather than broadly searching for "software engineers" or "marketing managers," strategic teams map talent within specific companies known for excellence in relevant areas.
Consider retail technology roles. If you need someone who understands retail operations at enterprise scale, you're not looking at random e-commerce companies. You're identifying people currently working at organizations like Walmart that operate at the complexity level your role requires. Building a targeted Walmart employee email list for relevant departments gives you direct access to candidates with exactly the experience your role demands.
This company-specific approach works across industries. Need pharmaceutical regulatory expertise? Map talent at major pharma companies. Looking for fintech product managers? Target employees at leading financial technology firms. Recruiting machine learning engineers? Identify teams at AI-forward companies.
The strategic advantage comes from precision. You're not sorting through thousands of loosely relevant candidates. You're engaging dozens of highly qualified people whose current experience directly translates to your open role.
Contact intelligence doesn't just accelerate reactive hiring. It fundamentally enables relationship-based recruiting at scale.
When you have direct contact information for potential candidates identified months before you need them, you can nurture relationships over time. You can share relevant content, provide industry insights, and establish your organization as a desirable employer long before asking them to consider a specific role.
This relationship-building approach transforms candidate perception. Instead of being "just another recruiter with a job," you become a valuable professional contact who provides insights and opportunities. When you eventually present a role, candidates respond because you've already established credibility and trust.
The best talent acquisition teams treat this like enterprise sales. They segment audiences, create nurture sequences, and track engagement over time. They don't blast the same generic outreach to everyone. They personalize communication based on the candidate's background, interests, and career stage.
This only works if you have the infrastructure to execute it, direct contact information, organized candidate databases, and systems for tracking communication history. Without these foundations, relationship-based recruiting remains theoretical rather than practical.
Strategic contact intelligence raises important questions about data privacy and ethical recruiting practices. Just because you can contact someone doesn't always mean you should.
Responsible talent acquisition teams establish clear guidelines around contact usage. They respect candidates who've indicated they're not interested. They avoid aggressive outreach that damages their employer brand. And they ensure their data sourcing complies with relevant privacy regulations.
The distinction between strategic intelligence and invasive harassment matters. Strategic recruiting uses professional contact information to initiate respectful, personalized conversations about career opportunities that might genuinely benefit the candidate. Invasive harassment involves repeated unwanted contact, sharing information candidates consider private, or disrespecting stated boundaries.
Organizations committed to ethical recruiting establish internal standards that exceed minimum legal requirements. They train recruiters on appropriate outreach frequency, message personalization, and respecting opt-out requests. They audit their data sources to ensure information comes from legitimate professional contexts, not personal or private channels.
Done properly, contact intelligence enables respectful professional networking at scale. Done poorly, it enables spam. The difference is in implementation, not technology.
Traditional recruiting metrics focus on time-to-fill and cost-per-hire. These matters, but they don't capture the full value of strategic talent acquisition.
More sophisticated organizations track pipeline health metrics: How many qualified candidates exist in pipelines for critical roles? What percentage of pipeline candidates respond to initial outreach? How many pipeline relationships convert to applications when roles open?
They measure proactive versus reactive hiring ratios. What percentage of hires came from pre-existing pipelines versus emergency postings? How does quality-of-hire compare between these sources?
They track relationship development metrics. How many candidates have they engaged but not yet recruited? How many stay engaged over 6, 12, 18 months? What's the eventual conversion rate on long-term relationships?

These metrics tell a different story than traditional measures. They reveal whether your talent acquisition function operates strategically or reactively. They show whether you're building a sustainable competitive advantage in hiring or constantly starting from zero.
Moving from reactive to strategic talent acquisition doesn't happen overnight. It requires changing processes, mindsets, and technologies.
Start by identifying your highest-value roles,positions that are business-critical, hard to fill, or both. Don't try to build strategic pipelines for every role immediately. Focus on the 10-20 positions where proactive recruiting delivers the most value.
For each priority role, define your ideal candidate profile precisely. What specific experience matters? Which companies employ people with these skills? What career progression typically precedes this role?
Build your contact intelligence infrastructure. Evaluate tools and databases that provide verified professional contact information at scale. Ensure whatever solution you choose integrates with your existing applicant tracking system and CRM.
Train your team on relationship-based recruiting. Strategic talent acquisition requires different skills than reactive hiring. Recruiters need to become comfortable with long-term nurture, personalized outreach, and consultative conversations.
Measure rigorously and iterate constantly. Track which outreach messages generate responses. Monitor which talent sources produce the best hires. Adjust your approach based on data, not assumptions.
Organizations that master strategic talent acquisition gain compounding advantages over time.
They reduce time-to-fill because they're not starting from zero when roles open. They improve quality-of-hire because they're selecting from broader, more qualified candidate pools. They lower cost-per-hire by reducing dependence on expensive external recruiters and job board promotions.
Perhaps most importantly, they hire people their competitors never even knew were available. While others compete for the same active candidates, strategic recruiters are having private conversations with passive candidates who aren't visible in public job markets.
In talent-constrained markets, this advantage becomes decisive. The companies that can consistently hire exceptional people faster than competitors can execute strategies others can't. They move faster, innovate more effectively, and build stronger teams.
The infrastructure enabling this advantage isn't complicated. It's contact intelligence, systematic pipeline building, and relationship-based recruiting discipline. But like most strategic advantages, it's simple in concept and difficult in execution.
The organizations that commit to this approach, who invest in the tools, processes, and training required, create sustainable competitive advantages that compound year over year. Those who continue hiring reactively will find themselves perpetually behind, competing for scraps while strategic recruiters engage the best talent first.
Tags: HR, Future of Work, Careers
Measuring the True ROI of Automated Claims Processes: Beyond Speed and Cost
Sponsored Post
Insurance companies are increasingly adopting claims automation to transform their operations. While speed and cost are often highlighted benefits, the advantages extend much further. Understanding these can help insurers make informed decisions about technology investments.
In recent years, the insurance industry has experienced a significant shift towards automation, particularly in claims processing. This transformation is largely driven by the desire to enhance efficiency and reduce costs. Measuring the true ROI of claims automation requires looking beyond these immediate financial gains. By examining the comprehensive benefits, you can better grasp how this technology supports both operational improvements and strategic business goals. Utilizing insurance claims processing software in conjunction with other tools can yield even more substantial results.
One of the most impactful benefits of insurance claims processing software is its ability to significantly improve customer satisfaction. By streamlining processes, insurers can offer faster and more transparent communication with their clients. This transparency builds trust, as policyholders appreciate knowing where they stand in the claims process at any given time. Moreover, automated systems can personalize interactions by using data to tailor responses to individual needs and preferences, further enhancing the client experience.
Additionally, automation reduces the likelihood of human error, which can lead to misunderstandings or delays. When errors are minimized, customers receive accurate information promptly, leading to increased confidence in the insurer's reliability. These improvements in service quality directly correlate with higher customer retention rates and positive word-of-mouth referrals. In a competitive market, such enhancements are invaluable for maintaining a strong reputation and securing long-term customer loyalty.
Beyond immediate transactional benefits, claims automation enables insurers to provide 24/7 accessibility through self-service portals and mobile applications. Policyholders can submit claims, upload documentation, and track progress at their convenience without being constrained by traditional business hours. This level of accessibility is particularly valuable for customers dealing with stressful situations such as accidents or property damage, where immediate action and constant updates provide peace of mind. The ability to engage with the claims process on their own terms empowers customers and demonstrates the insurer's commitment to putting their needs first, ultimately fostering deeper relationships and brand loyalty.
The integration of automation into claims handling significantly reduces human error, resulting in more accurate and consistent outcomes. Automated systems meticulously follow programmed protocols, ensuring that each claim is processed according to predefined rules without deviation. This precision not only boosts efficiency but also enhances the reliability of claim settlements, minimizing disputes and appeals.
Accuracy in claims processing is crucial for maintaining both regulatory compliance and customer trust. Errors can lead to financial losses for insurers and dissatisfaction among policyholders. By employing automation, you mitigate these risks and ensure that your processes adhere strictly to industry standards. This not only safeguards your company from potential legal issues but also fortifies your reputation as a reliable service provider.
Advanced automation systems leverage artificial intelligence and machine learning algorithms to continuously improve accuracy over time. These intelligent systems can identify patterns in claims data, flag anomalies that may indicate fraud, and even predict potential issues before they escalate. By analyzing thousands of historical claims, automated systems develop increasingly sophisticated decision-making capabilities that surpass manual review processes. This predictive accuracy not only prevents fraudulent claims from slipping through but also ensures legitimate claims are processed without unnecessary delays or scrutiny. The result is a more equitable and efficient claims ecosystem that protects both the insurer's financial interests and the policyholder's right to fair treatment.
Automation plays a pivotal role in facilitating business growth by enabling insurers to scale operations effectively. As your business expands, managing increased claim volumes manually becomes unsustainable. Automated solutions provide the scalability needed to handle such growth without compromising service quality or incurring prohibitive costs. This capability allows you to explore new markets and expand your client base with confidence.
Additionally, automation equips you with the flexibility to adapt to evolving market demands swiftly. Whether it's integrating new types of insurance products or complying with regulatory changes, automated systems can be updated efficiently to accommodate these shifts. By staying agile and responsive, you position your company at the forefront of industry innovation, ready to capitalize on emerging opportunities and trends.
Understanding the multifaceted advantages of claims automation requires a holistic evaluation approach that considers more than just immediate returns on investment (ROI). When assessing ROI, it's essential to factor in long-term benefits such as enhanced customer satisfaction, reduced error rates, and strategic scalability, all contributing to sustained business success.
To truly gauge the effectiveness of your automation efforts, it's helpful to establish clear metrics that reflect these diverse benefits. For example, measuring customer satisfaction scores before and after implementing automation provides insight into service improvements. Additionally, tracking error reduction rates and analyzing their impact on operational costs can highlight further efficiencies gained through technology investments.
Moreover, new outcome metrics like Lifetime Value (LTV) lift, churn reduction, and Net Promoter Score (NPS) delta by claim type can offer deeper insights into the value added by automation. These metrics help in understanding the broader impact on customer loyalty and business growth, making them particularly appealing to executives and data teams looking for comprehensive evaluation methods.
Tags: AI, Predictive Analytics, InsurTech
Regulatory oversight in insurance ensures fair practices
Sponsored by Lewis & Ellis
Regulatory oversight in the insurance industry is vital for maintaining fair practices and protecting consumers. Insurers face challenges as they navigate compliance requirements, striving to uphold transparency and accountability. Understanding the mechanisms behind regulatory oversight reveals its impact on consumer trust and industry integrity.
The insurance sector is a complex ecosystem where consumer protection and fair practices are paramount. Regulatory oversight ensures that insurers adhere to ethical standards, safeguarding the interests of policyholders. Market conduct examinations are central to this process, helping maintain fairness and transparency within the market. As the industry evolves, understanding these regulatory frameworks becomes crucial for both insurers and consumers alike.
Regulatory frameworks within the insurance industry are designed to uphold fairness and transparency. These frameworks involve comprehensive reviews of insurer operations to ensure adherence to legal and ethical standards. By scrutinizing business practices, regulatory bodies help prevent fraudulent activities and protect consumer interests. These examinations evaluate various aspects, including claims processing, advertising practices, and policyholder interactions.
Through detailed analysis, regulators identify potential violations and ensure corrective actions are taken. This process promotes accountability and reinforces public confidence in the industry. With rigorous oversight, insurers must maintain high standards of integrity, which ultimately benefits consumers by ensuring they receive fair treatment. The role of regulatory bodies is essential in cultivating a transparent marketplace.
For insurers, navigating these regulations requires a thorough understanding of compliance obligations. Staying informed about regulatory changes is crucial to avoid penalties and maintain a positive reputation. Effective communication between insurers and regulators can facilitate smoother operations while ensuring that consumer protection remains at the forefront of business practices.
The implementation of digital monitoring tools has revolutionized how regulatory oversight functions in modern insurance markets. These technological advances enable real-time tracking of compliance metrics, allowing for more efficient identification of potential issues. Automated systems can flag suspicious patterns or inconsistencies in business practices, providing regulators with powerful tools to maintain market integrity. This digital transformation has significantly enhanced the ability to protect consumer interests while streamlining the compliance process for insurance providers.
Consumer protection is a fundamental aspect of regulatory oversight in insurance. Regulators establish guidelines that prioritize policyholder rights, ensuring that their interests are not compromised by unfair practices. Insurers play a critical role in complying with these regulations to protect their customers from potential exploitation or misinformation.
Compliance involves adhering to established standards for transparent communication with policyholders about premium rates, coverage details, and policy terms. By doing so, insurers foster trust with their clients, which is vital for long-term relationships. Regulatory oversight also mandates clear disclosure of information, allowing consumers to make informed decisions about their insurance options.
The dynamic nature of compliance requirements necessitates that insurers remain vigilant in updating their practices to align with evolving regulations. This proactive approach not only safeguards consumers but also positions insurers as responsible entities committed to ethical conduct. In this way, regulatory oversight acts as a safeguard for both parties involved in the insurance process.
The rise of cybersecurity threats has added another crucial dimension to consumer protection in the insurance sector. Regulatory bodies now require insurers to implement robust data protection measures to safeguard sensitive policyholder information. This includes regular security audits, encryption protocols, and incident response plans. These requirements reflect the evolving nature of consumer protection in an increasingly digital insurance marketplace, where data security is as important as traditional consumer safeguards.
The transparency of premium structures is crucial in maintaining trust between insurers and consumers. Regulatory oversight ensures that premiums are set fairly, reflecting genuine risk assessments rather than arbitrary pricing strategies. By enforcing transparency in pricing models, regulators help eliminate discriminatory practices that could harm policyholders.
Insurers must balance profitability with affordability while complying with regulatory mandates. This involves meticulous calculation of risk factors and cost considerations to arrive at equitable premium rates. Under regulatory scrutiny, insurers are required to justify their pricing models, which promotes a fairer marketplace for all participants.
As an insurer, it is essential to prepare by adopting best practices that align with transparency goals. Open communication about premium adjustments and rate changes can mitigate consumer dissatisfaction and enhance brand loyalty. Transparent operations not only satisfy regulatory requirements but also strengthen consumer confidence in the industry.
The insurance industry faces several challenges when meeting regulatory requirements. Adapting to changing regulations demands continuous monitoring and adjustment of business strategies. However, these challenges can be effectively managed through adherence to best practices that emphasize compliance and innovation.
Implementing robust internal audit systems helps identify areas of non-compliance early on, allowing for timely corrections before they escalate into significant issues. Training programs focused on regulatory updates equip employees with the knowledge necessary to implement compliant procedures consistently.
Additionally, fostering strong relationships with regulators can provide valuable insights into upcoming changes and trends within the industry. Engaging in open dialogue creates an environment conducive to mutual understanding and cooperation, beneficial for both parties involved in ensuring fair market conduct. Insurers can also prepare for MCE by staying informed and proactive in their compliance efforts.
Tags: Risk Management, InsurTech, GRC
How Behind-the-Scenes Data Teams Are the Real Rainmakers in Business Growth
[Sponsored by The University of Oklahoma Online]
If you're not familiar with the term, a "rainmaker" in business vernacular is someone who brings a great change or large amount of new business. For a long time, the "rainmakers" in business tended to be charismatic leaders or high-profile executives. But the digital economy created a new kind of rainmaker, who doesn't work on the conference room floor. Instead, they're behind the scenes, analyzing raw data and turning it into strategies for a company's growth.
Analytics roles in business aren't merely support functions anymore -- they're critical to helping a company thrive. Some of the most successful businesses of the last decade are ones where data professionals are shaping strategy.
The Importance of Analytics-Driven Growth Strategies
So why are analytics-driven strategies so important? For one thing, the days of running a business on instinct and experience alone are over. These days, you need the kind of hard evidence that only comes from data. Whether it's predictive analytics, churn modeling, pipeline forecasting, or customer segmentation, these disciplines have become essential to a growing company.
Most importantly, data no longer just sits in silos the way it used to. Data-driven insights from sales, marketing, operations and customer service are often integrated to provide a high-level, unified view of how the business is doing. This leads to smarter decision-making, optimized customer experience that improves conversion and retention, and a smarter allocation of resources across all channels.
In short, an analytics-driven approach leads to a more cohesive and profitable growth strategy.
From the Back Office to the Boardroom
There was a time when data and analytics specialists were seen primarily as number crunchers, set apart from more traditional leadership. But that's all changing. Data teams now have contributions to make to pricing strategy, product roadmaps, and enterprise deals, from modeling ROI to balancing profitability with features.
This shift is so dramatic, it’s driving professional growth for data specialists. Many are pursuing advanced degrees to increase their earning potential and unlock new career opportunities.
One option is a master’s in business analytics online, offered by the University of Oklahoma, a highly reputable public research university. Programs like this combine the credibility of a well-regarded graduate degree with the flexibility of online study. They allow professionals to keep working while building advanced skills in areas such as predictive modeling, data visualization, and analytics strategy.
For many data professionals, the payoff from pursuing advanced study is clear: a master’s in business analytics can open doors to high-demand career paths. Graduates are stepping into roles such as business intelligence consultant, marketing or sales operations analyst, product strategy analyst, or revenue operations manager.
Why Organizations Must Prioritize Developing Analytics Talent
Now that we've established how in-demand skilled analytics talent is, let's dig into why it's so important.
The truth is, your company may be leaving money on the table by sitting on mountains of untapped data. Or you may be underusing your data analysis by confining it to IT or finance, where its impact is limited.
By placing priority on developing your analytics talent (whether that's hiring new skilled professionals or training up existing employees), you can unlock the full potential of your data. A trained or well-educated data analyst can bring a powerful arsenal of skills to the table:
● decision analysis, to bring data insights in line with the company's goals;
● data visualization, to make complex information both digestible and actionable to the "layman";
● statistical modeling and forecasting, to predict trends and shifts in the market before they happen; and
● data management and governance, to ensure the accuracy and legal / regulatory compliance of your data.
Without these skills, a business risks losing out -- either by missing opportunities or making decisions based on incomplete or inaccurate information. That's a mistake few businesses can afford to make in today's economy.
Building a Data-Driven Culture to Drive Growth
As you might expect, as vital as a talented analytics team might be, that also may not be enough for your organization. To really make full use of your data, you may have to embed "data thinking" into your entire culture.
This might include building a diverse analytics team to include specialists in data engineering, data mining, statistical modeling and machine learning. It may also mean bringing data experts in as early as possible to strategic planning, to make sure those strategies are built on facts.
It's also important to facilitate analysts working alongside marketers, salespeople and product developers, rather than confining them to IT or finance. And finally, it's worth investing in the ongoing education and training of your data analysis team, whether by helping them to pursue a masters in business analytics.
Today's rainmakers aren't just executives and salespeople -- it's also those who use hard facts to inform strategy, forecast market trends, and help craft long-term plans built on genuine insight.
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Tags: Analytics, Big Data, Future of Work
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Tags: Marketing, Public Relations, Personal Branding
From Contacts to Clients: Leveraging LinkedIn and CRM for Business Success
Sponsored By LeadDelta
Year after year LinkedIn continues to have a pivotal role in the world of modern business and connecting people within. Developers of this vast social network always tend to keep a steady eye on the demands of an ever-changing business environment.
One such demand was CRM integration. If your goal was to seek clients using this network, you had to keep track of all the contacts, messages, relationship nuances, leads, etc.
This requirement led LinkedIn to develop a set of CRM tools that have become essential for professionals looking to convert contacts into clients.
Suddenly:
..became a lot easier! And here is how it’s done.
LinkedIn started as a job-seeking platform. Even today this is still synonymous with this network. Yet, it is much, much more. When used the right way in the right environment, LinkedIn can become a powerful platform for building and strengthening professional relationships.
Naturally, a contacts list stacked with potential clients doesn’t just fall from the sky.
As is with almost every social network, first you need to round up a compelling profile. It should reflect your expertise, the visuals should be done professionally, basically - it should build trust with others when contacting them.
Crafting such a robust profile is the first step in attracting potential clients.
The second one is the message you're sending. And here, we’re not referring to the actual message when contacting others, but the totality of creating and sharing valuable and practical content via your profile, engaging with other people’s posts. Generally speaking - marking your online presence.
Finally, choose well where you are making your presence felt. Search for groups or profiles with plenty of engagement and coverage and strategically expand your network to stay top-of-mind with potential clients.
Imagine a well-organized library where each book represents a customer. This library not only stores information about each customer’s past interactions, preferences, and needs but also suggests the best way to engage with them next. This is what CRM is.
What it does within the LinkedIn setup is:
If you have five contacts, you don’t need CRM software. But, what if that number is five hundred? Or five thousand? Most likely you will need a machine to do its lion’s share of work.
Tracking an interaction means being fully aware of every single exchange you had with a contact. Be it a message, comment, or a profile view - every bit of contact activity is stored inside the CRM system. To own such a timeline of client interaction is a great advantage in any business.
To strike a (business) chord with someone often means to engage in communication that is consistent and timely. Whether it’s a schedule reminder for a sales rep or a follow-up email, it’s a good thing to have a 24/7 awake automated trigger integrated with your CRM system.
LinkedIn offers a variety of information, such as job titles, industry, recent activity, or mutual connections. All this could and should be used to tailor their outreach. For instance, if a potential client recently shared a post about a specific industry trend, you can reference that post in their next outreach.
CRM software uses this data to create highly personalized messages, making interactions more relevant and meaningful.
Consider Dunbar's number. It refers to a human cognitive limit in the number of people with whom you can maintain meaningful social relationships. This British anthropologist claims that we can track up to 150 relationships.
Everything beyond that number is too much for our brains. Others suggest even smaller numbers. Enter LinkedIn and CRM.
Whether it’s an integrated LinkedIn CRM or an outside CRM software, once you run it, you are in for a ride! Certain LinkedIn’s limitations suggest that sometimes it is a good idea to reach out for a different software solution. Such mundane action is dealing with how to remove LinkedIn connections. LinkedIn makes it tedious to do it in bulk, for example.
Once you connect the two - the syncing starts. Your and others LinkedIn activities are monitored to create a seamless flow of information and a more holistic approach to client management.
SAP is a German software giant specializing in managing business operations. SAP has recognized the power of LinkedIn and social selling, so they started using LinkedIn Sales Navigator.
The goal was to locate clients, engage with them over quality content, establish relationships, and turn them into customers.
The magnitude of this project demanded some sort of CRM software. They developed their own and integrated it with LinkedIn. This integration ensures that all communications and interactions are logged, enabling more effective follow-up and nurturing.
The outcome was an easy guess: SAP has seen a measurable impact on its sales pipeline due to this LinkedIn-CRM combination. By providing relevant content and personalized outreach, SAP has been able to increase its lead conversion rate and reduce the sales cycle.
The way SAP (or any other business, big or small) was able to determine the efficiency of such an approach to social selling was to put a number next to the following metrics:
What CRM integration does is it provides you with real-time insight into communication tactics. Monitoring those three metrics above gives you a regular and steady flow of performance analysis information. You can use this information to tweak certain strategies on the spot.
The future of LinkedIn and CRM in business development is bright. With recent breakthroughs in the field of artificial intelligence, both LinkedIn and its integrable CRM software solutions continue to evolve with new features like:
Based on the premise that human behavior in certain business environments is somewhat predictable, we will probably witness an ever more automatization of the process.
We are perhaps not far from a point where using social networks such as LinkedIn along with some fine CRM solutions will mean the difference between success and failure, regardless of what we are selling.
Pay close attention and you just might succeed in bolstering transformation from contacts to clients.
Tags: CRM, Marketing, Sales
Overcoming B2B Logistics Challenges: Strategies for Success
Sponsored By Migway
Can you imagine a smooth supply chain where the products arrive exactly when needed, and disruptions don't exist? With effective B2B logistics, this is close to becoming a reality.
Yes, things can get quite hectic in the supply chain. Every disruption and missed deadline can result in financial losses. Addressing such challenges can help enhance efficiency, maintain cost control, and enhance customer satisfaction. Logistics managers should understand the common challenges and perfect their strategies to combat them.
A vast network that consists of suppliers, distributors, and manufacturers makes management more complex. You need to manage every party involved to avoid holds. This is when logistic managers understand the importance of implementing supply chain management software. With the help of AI and machine learning, the demand can be predicted. In fact, AI can easily predict patterns and data that humans can easily oversee. Therefore, managers can efficiently direct the resources with the help of technology.
B2B transactions involve time-sensitive deliveries. Even the minor delays and disruptions can impact the production processes and lead to financial loss. The common strategies to solve this problem are third party logistics providers, route optimization algorithms and buffer stock.
Route optimization relies on advanced technology to find the most efficient route that minimizes travel time. It takes weather and traffic congestions in consideration to minimize holds.
Maintaining a buffer stock is another solution to this challenge. It includes storing a small buffer inventory to deal with higher demand in case of disruptions. This keeps the production process moving forward and prevents delays. This results in higher customer satisfaction.
Inefficiencies in the supply chain, warehousing, and transportation will increase the overall logistics costs. This doesn't only affect the profit, but makes it difficult for companies to establish competitive pricing. Technology is here to help companies overcome the hurdle; process automation, inventory management and route optimization can help.
Logistic management systems can deal with the different steps of the process. From order processing to tracking, they help automate many processes. This eliminates the possibility of error due to manual work and decreases the costs.
When companies want to reduce their costs they can work with a trusted 3PL partner. The logistics partner helps decrease the transportation and warehousing costs. They have developed a strategy that allows them to consolidate the shipments and achieve the best transportation prices. Naturally, they work with large volumes of shipments so logistics companies will have greater power when negotiating pricing. For you, this means lower shipping costs while maintaining quality of service.
Understanding the local and international regulations is very challenging for companies. Failing to do so can result in fines and delays, resulting in significant financial losses.
The companies need to ensure regulatory compliance across different regions. They should stay informed about the changes but can also rely on technology to do so. Compliance management software is one of the tools that can help companies ensure compliance with their logistics activities. Keeping up to date with the latest regulations helps avoid fines and delays that happen due to non-compliance. The systems also take care of the documentation process with the power of automation. With this, logistics teams will have the administrative tasks off their shoulders. Another crucial step to avoiding compliance issues is working with customs, brokers, and consultants. Customs can help you navigate the hefty process and ensure smooth cross-border transactions. They can familiarize you with the local regulations, help with the documentation, speed up the customs clearance, and prevent delays disrupting the supply chain.
Tags: Supply Chain
Why Personalization Matters in B2B Customer Service
Sponsored By Zendesk
Every industry has countless B2B companies that seem to offer similar products and services. It's arguably difficult to stand out from the competition and grow a loyal customer base. However, you can compete favorably and achieve your business goals with the help of B2B personalization.
Personalization simply refers to the customization of your offers, marketing, and customer service to fit the needs of each customer. It ensures that you understand what your customers want and need. Then, you'll come up with strategies on how you can meet such expectations quickly.
In this article, we'll discuss personalization in B2B customer service and how you can implement it.
Let's explore some reasons why you need to personalize every form of communication with B2B customers.
Many customers who purchase B2B products expect fully or mostly personalized content when interacting with a company. They want to see personalization along every step e.g. when they discover the company, when they buy a product or service, when using the product, when they ask for help, and when they engage with the company.
You can increase customer engagement by personalizing interactions before, during, and after a purchase. It means that you'd recommend best-suited products, communicate via their preferred channels, and ensure that your product or service helps to solve their business problem. To retain your customers, you need to personalize every touchpoint.
The best way to guarantee success in your marketing is by crafting personalized content and advertising materials. You need to understand your customers’ needs, know how to address their pain points, and come up with good offers. About 97% of marketers use personalization to deliver better customer experiences and generate higher ROI.
It's not enough to provide an excellent product or service in a B2B company. You have to connect with all your customers and offer proactive support. This may include using check-in emails, direct messages, or phone calls to determine their satisfaction rate. You need to make them feel appreciated and look for ways to serve them better.
According to the stats, 56% of B2B buyers expect offers to be personalized. This means that you can convert leads and prospects into customers through personalization. You can also upsell and cross-sell relevant products to existing customers. The more satisfied customers are, the more they would recommend your brand to other businesses.
Personalization involves learning who your customers are, what problems they have, and the best way to help them.
Below are steps on how to offer B2B personalization:
The first step is to collect enough information about your target audience e.g. company information, demographics, purchase behaviors, etc. This can be through your own customer data, market research and competitor research.
After collecting valuable data, you can create customer segments and unique buyer personas. This can help you determine prospects who have certain job positions, needs, pain points, goals, behaviors, expectations, etc.
Customer service apps allow you to track, manage and respond to customer requests promptly. It also uses AI and data analytics to analyze customer interactions. You can use these insights to create better communication and develop more relevant marketing campaigns.
It's a good idea to focus your resources on high-value accounts. After creating an ideal buyer profile, you'll segment customers, identify those high-value customers, and create personalized communications for them.
You should note that B2B sales requires approval from multiple decision-makers. (You're not dealing with a single person). So you need to target a team of roleplayers such as the buyer, billings department, senior leadership, etc.
From marketing to customer service, you can create a tailored and more fulfilling customer experience. Here are some notable examples of B2B personalization.
When sending emails, you should use the buyer persona to add relevant information. You need to mention their first name, address any concerns, speak to the customer, and include any personal information where necessary.
Rather than reach out to customer service every time, B2B customers can use a self-service portal to perform actions. For example, they can place orders, pay bills, request support, update information, track past interactions, etc).
B2B websites should have personalized copy and content. You need to create offers for different personas, accounts, segments, leads, etc. Paid advertising and landing pages also need to target and match every customer segment.
It's advisable to assign specific customer service agents to your customers. This allows them to develop a relationship with one or two individuals in your support team. Some customers prefer dedicated support rather than speaking to a different agent every time they need assistance.
B2B customers are more likely to patronize a brand that offers personalized marketing and customer service. To create customized experiences, you need to collect data on your customers and use it to speak to their unique needs and interests. This could be in the form of targeted ads, personalized content, relevant recommendations etc.
Personalizing the customer experience isn't just a "must-do" It's a crucial strategy in B2B customer service interactions that can significantly enhance customer satisfaction, engagement and loyalty. By tailoring interactions to meet the specific needs and preferences of your target customer, businesses can build better brands which ultimately lead to more sales and an increase in revenue. Embracing these practices can set your business apart in a competitive market and foster long-term success.
Tags: Customer Experience
The Year’s Most Popular Articles from Thinkers360 Thought Leaders
We’ve searched the Thinkers360 Member Blog to pick out the year’s most popular articles on business, technology and sustainability from Thinkers360 thought leaders. Here’s our picks with direct links to the articles as well as to the author’s thought leadership profiles and portfolios on Thinkers360!
https://www.thinkers360.com/the-years-most-popular-articles-from-thinkers360-thought-leaders-2/
Tags: Innovation, Leadership, Management
Announcing the Thinkers360 2022 B2B Thought Leadership Outlook Survey
In association with the British Computer Society
Thinkers360 is conducting our 2nd annual industry research into the current and future state of B2B thought leadership working with our opt-in B2B thought leader and influencer community with over 100M followers on social media combined.
If you are a consumer and/or producer of thought leadership content, we invite you to participate in our survey and receive a free copy of the survey results. You will also be eligible to enter our drawing for one of three free 1-Year Pro Plan Memberships to Thinkers360 to further amplify your personal brand.
Upon survey completion, we will send a complimentary copy of the initial survey results to all participants and more extensive results and analysis will be made available to Thinkers360 members at the Pro Plan level and above.
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Tags: Innovation, Marketing, Business Strategy
5 Best Practices for Finding and Working with Authentic B2B Influencers and Thought Leaders
Tags: Social, Leadership, Marketing
How to find authentic B2B influencers and thought leaders
In identifying and working with authentic influencers in their niche, organizations need tools and techniques to help them understand not only who the authentic experts are, but the kind of hats they wear as a thought leader – i.e. are they primarily an academic, author, influencer or speaker, or perhaps a unique combination of several of the above? Today’s marketplaces and platforms too often serve up one type of expert – i.e. an author, influencer or speaker – but don’t provide the means to find thought leaders who may be powerful combinations of the above. This can be a serious issue for brands, because what if you need an influencer who’s also a respected author and thought leader on specific niche topics, or a speaker who’s also great at facilitating workshops? To find out more about Thinkers360's unique approach, please see our original post at How to find authentic influencers and thought leaders or contact us via our Enterprise page and we’d be delighted to speak with you!It's no wonder that 61% of marketers have difficulty finding the right influencers.
Tags: Social, Marketing
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