Dan Banas is a leader in AI, Business Strategy, and Emerging Technology. Skilled at customer and revenue growth, identifying opportunity, and guiding business strategy. With 15 years’ experience advising executive decision-makers across business units, Dan bridges executives, technical teams, and clients to optimize growth
Business Strategy and AI. Coach and Consultant
Are you wondering how you and your leadership team can better guide Business Strategy and AI implementations? For each client engagement, Dan helps executive teams solve the following questions:
How do you approach developing a business strategy for a company in a highly competitive industry?
How do you prioritize initiatives when a company has limited resources?
How do you ensure alignment between a company’s business strategy objectives and its day-to-day operations?
Helping executive leaders analyze business strategy, AI, GenAI, market conditions, competitive landscapes, and internal capabilities to formulate a strategy that provides a competitive edge.
Helping balance strategic goals with practical constraints, ensuring the most critical projects receive the necessary focus and resources.
Helping bridge the gap between high-level strategy and operational execution, ensuring that strategic goals are consistently met.
Qualifications:
Dan Banas has an MBA Master's of Business Administration and MSBA Master's of Science in Business Analytics from the University of Iowa. He has held CSM Certified Scrum Master Certification, Salesforce AI Certification, Semrush SEO Certification, has been in CNBC's list of Top 100 Financial Advisory Firms, is a LinkedIn Top Voice in Business Strategy and Emerging Technology, was named a 'Top 100 Innovator' by Top 100 Magazine, and named a 'Top 50 Analytics Thought Leader' by Thinkers360.
Often searched for: AI, Artificial Intelligence, GenAI, Generative AI, Data Science, Machine Learning, Analytics, Business Strategy, Finance, Financial Reporting, FP&A, Investor Relations, Revenue, Growth, CRM, 1P Data, Website Analytics, Customer Journeys, Marketing, Audience Acquisition, CLV, Consumer Insights, Executive Management, Strategy
Available For: Advising, Authoring, Consulting, Influencing, Speaking
Travels From: Charlotte, North Carolina
Speaking Topics: Business Strategy, AI, Analytics
Dan Banas | Points |
---|---|
Academic | 5 |
Author | 80 |
Influencer | 189 |
Speaker | 10 |
Entrepreneur | 10 |
Total | 294 |
Points based upon Thinkers360 patent-pending algorithm.
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Business Strategy, Leadership
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: Analytics, Business Strategy
Tags: AI, Analytics, Business Strategy
Tags: AI, Business Strategy, Leadership
Tags: AI, Business Strategy, Leadership
Date : August 24, 2024
Date : August 20, 2024
Date : August 20, 2024
Creating impactful videos is essential for thought leaders looking to elevate their presence and communicate their ideas effectively. With the right lighting, equipment, and even AI-enhanced backgrounds, you can craft professional-quality videos that capture attention without requiring a huge budget. Here are 3 recommended videos for thought leadership content creation:
Tags: AI, Analytics, Business Strategy
Space is awesome. In the sense that it can be scary, but it's incredible what people have achieved with science and technology. Today I'd like to explore a few ways AI is being applied in space and what we can learn for earth-based business strategy.
Autonomous Navigation and Rover Exploration: https://www.jpl.nasa.gov/news/heres-how-ai-is-changing-nasas-mars-rover-science. AI plays a tremendous role in the autonomous navigation of space rovers, such as NASA's Perseverance on Mars. With AI, rovers can independently navigate the Martian terrain, skillfully avoiding obstacles and selecting the most efficient paths for exploration. This autonomy enables faster and more effective missions, reducing the need for direct human oversight.
Satellites: https://www.esa.int/Enabling_Support/Preparing_for_the_Future/Discovery_and_Preparation/Artificial_intelligence_in_space. AI is being increasingly applied in satellite navigation, for both space and Earth weather forecasting while aiding in the detection of unauthorized drones in restricted airspace. Beyond this, AI-powered navigation boosts the capabilities of autonomous vehicles, including cars and boats. A project led by the European Space Agency (ESA) even leveraged AI to create autonomous situational awareness for ships, allowing them to accurately sense and respond to their surroundings.
Planning Space Missions: https://www.boozallen.com/markets/space/artificial-intelligence-for-space-missions.html. AI is helping plan space missions where 20,000 objects orbit. With the anticipated surge in commercial satellite launches, this traffic could potentially triple in just a few years. This increasing congestion in space highlights the immense challenges operators face in managing and safeguarding satellites amid such complexity. Avoiding all of that is a tremendous task, then all of the logistics and supply chain work that also goes into missions.
Just as AI helps space rovers navigate challenging terrains and manage the growing complexity of satellite traffic, these technologies can also enhance Earth-based business operations. AI can automate logistics, optimize supply chains, and improve the capabilities of autonomous vehicles. By utilizing AI to manage complexity and make real-time decisions, businesses can achieve greater efficiency and scalability.
Tags: AI, Analytics, Business Strategy
I was reading an article this morning about how ChatGPT is designing pizza recipes. Apparently AI designed a pizza that represented the country's multicultural demographic, mixing staples from across the globe to meet the population's tastes. It got me thinking about interesting AI uses.
First off, this article about the AI-generated pizza recipe: https://www.techradar.com/computing/artificial-intelligence/would-you-eat-a-pizza-designed-by-chatgpt-pizza-chains-ai-recipe-proves-to-be-a-huge-hit
AI in Archeology where AI is used to analyze ancient scripts and artifacts to uncover historical data, translate forgotten languages, and assist in reconstructing lost sites or civilizations. https://autogpt.net/the-role-of-ai-in-modern-archaeology/ I found it very intersting how one of the most impactful uses here is preservation of the sites while allowing for analyis.
AI in Space Exploration. AI is helping NASA explore Mars and beyond by using autonomous rovers and systems capable of making decisions and performing experiments without human input. Great article from NASA's Jet Propulsion Lab here: https://www.jpl.nasa.gov/news/heres-how-ai-is-changing-nasas-mars-rover-science
AI in Ocean Cleanup. AI systems analyze satellite imagery and marine data to locate oceanic plastic waste and help guide robotic systems to clean up the environment more efficiently. https://theoceancleanup.com/research/#latest-scientific-publications
AI is revolutionizing diverse fields, from generating creative culinary innovations like unique pizza recipes to aiding in the preservation of historical sites by analyzing ancient artifacts without causing damage. In space exploration, AI enables autonomous decision-making in rovers, allowing for more efficient exploration of Mars, while in environmental efforts, AI helps locate and guide ocean cleanup by identifying plastic waste through satellite data. These applications showcase the versatility of AI in solving complex challenges across industries.
This is just the proverbial tip of the iceburg when it comes to interesting applications of AI and analytics, hopefully this gets you inspired!
Tags: AI, Analytics, Business Strategy
AI usage has gone from a nice-to-have to an essential piece of Business Strategy, Growth, and Innovation. It's helping drive innovation, enhance decision-making, and maintain a competitive edge in an increasingly data-driven market.
As organizations continue to harness the power of AI, they are streamlining existing processes as well as new business models that can scale rapidly. This shift is enabling companies to respond more agilely to market demands and position themselves as industry leaders.
Here are 5 benefits to using AI for business strategy:
Better Decision-Making: AI provides data-driven insights and predictive analytics, allowing businesses more advanced strategic decisions.
Better Efficiency: By automating routine tasks and optimizing operations, AI helps businesses save time and resources, leading to greater operational efficiency.
Better Customer Experiences: AI enables businesses to deliver highly personalized experiences by analyzing customer behavior and preferences, which can help with customer satisfaction and loyalty.
Better Risk Management: AI can identify potential risks and predict market trends, enabling businesses to proactively manage challenges and reduce uncertainties.
Better Advantage: AI streamlines the development lifecycle for new products, giving companies a competitive edge in their industries.
A recent Forbes article goes into further depth: "Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations". https://www.forbes.com/councils/forbestechcouncil/2024/08/12/innovative-data-strategies-leveraging-ai-for-smarter-enterprise-operations/. With the conclusion that data privacy is paramount, as well as model explainability.
Tags: AI, Analytics, Business Strategy
We'll look at this recent article "Harnessing artificial intelligence to develop strategic marketing goals" from Kikelomo Fadilat Anjorin,Mustafa Ayobami Raji,Hameedat Bukola Olodo,and Oluwaseun Peter Oyeyemi published by International Journal of Management & Entrepreneurship Research May 12, 2024 with a featured CustomGPT called "SciSpace" by scispace.com
Article link here if you'd like to read the full 26-page article:https://www.fepbl.com/index.php/ijmer/article/view/1127/1356&ved=2ahUKEwjl9JahvKWIAxU8DTQIHQEUDaIQFnoECBgQAQ&usg=AOvVaw2oRAypq2_NSRAJ_hChbhP1
The paper presents several important conclusions regarding the integration of AI in marketing strategies. Here are the main takeaways:
Imperative Adoption of AI: Organizations must embrace AI to remain competitive in today's fast-paced business environment. The paper emphasizes that AI is not just an option but a necessity for effective marketing strategies.
Transformative Potential: AI has the potential to transform various aspects of marketing, including customer segmentation, personalized targeting, predictive analytics, and automation. This transformation can lead to more effective marketing campaigns and improved customer engagement.
Alignment with Business Objectives: It is crucial for businesses to align their AI initiatives with broader business goals. The paper highlights that successful AI integration should enhance customer experience, optimize resource allocation, and ultimately drive revenue growth.
Addressing Challenges: The paper discusses the challenges associated with AI integration, such as data privacy concerns and ethical implications. Organizations need to be aware of these issues and develop strategies to address them effectively.
Structured Implementation Approach: A structured approach to implementing AI is recommended. This includes robust data governance, talent acquisition, and continuous monitoring to mitigate risks associated with AI adoption.
Data-Driven Decision Making: The importance of data-driven decision-making is emphasized. Organizations should engage in iterative experimentation and agile adaptation to fully leverage AI's capabilities for innovation and competitive advantage.
Long-Term Sustainable Growth: By strategically harnessing AI, organizations can enhance their marketing effectiveness and cultivate long-term sustainable growth. The paper advocates for a proactive stance towards AI in marketing strategy formulation.
Super interesting to explore these key points as a quick snapshot of the type of research moving forward in Marketing, Business Strategy, AI, Leadership, and more.
Tags: Analytics, AI, Business Strategy
Successful AI integration that drives business change requires advanced technology in addition to strong leadership and a clear business strategy. By aligning AI initiatives with human-centric approaches, businesses can drive innovation while focusing on ethical and sustainable growth. Let's look at 3 recent articles on AI integrations and apply learnings generally across industries:
Zooming out, this focus on the human-side of AI implementations tells the story of how actual functions and business roles are changing. Not only is AI going to assist humans, AI is fundamentally altering how to best structure leadership and business strategy.
Tags: Analytics, AI, Business Strategy
It's incredible what AI and Generative AI are making possible these days. In this article let's look at 6 ways for leveraging AI for Leadership, Business Strategy, and connecting better with your teams. By utilizing AI, leaders can enhance their storytelling skills, ensuring their messages are consistent, empathetic, and impactful across all platforms.
6 new ways to use emerging technology and AI Leadership, Business Strategy, and connecting better with your teams, hope that helped!
Tags: Analytics, AI, Business Strategy
Here are three recent articles that explore how AI is shaping the future of business strategy and leadership excellence, definitely worth the read beyond this summary snapshot.
"AI is Changing the Shape of Leadership" - World Economic Forum https://www.weforum.org/agenda/2024/05/ai-is-changing-the-shape-of-leadership-how-can-business-leaders-prepare/
This article discusses the profound impact AI is having on leadership across industries, emphasizing the need for AI governance frameworks and the delicate balance leaders must strike between embracing AI's advantages and addressing its risks. It provides insights into how AI is becoming integral to leadership strategies in 2024.
"How AI Strategy for Business Leadership Can Drive Success" - Northeastern University https://news.northeastern.edu/2024/06/21/ai-strategy-business-leadership/
This piece highlights the importance of AI in modern business leadership, showcasing real-world examples of companies using AI to streamline operations and make more informed decisions. It emphasizes that leaders need to understand and integrate AI into their strategic planning to remain competitive.
"The AI-Augmented Leader" - Harvard Business Review https://hbr.org/2024/06/how-ai-can-make-make-us-better-leaders
This article explores how AI is augmenting leadership roles, enabling leaders to expand their influence and effectiveness. It covers the ways AI is transforming decision-making and strategic execution, making leaders more data-driven and responsive to market changes.
All in all, it's clear AI is reshaping business strategy and leadership, and we're seeing that top companies and business strategy experts are spending more time exploring how AI is changing the landscape.
Tags: Analytics, AI, Business Strategy
AI and Emerging Technology is changing the way we work. It's also creating new opportunities for improving Leadership and Business Strategy approaches.
Let's look at 5 ways AI is fundamentally changing leadership and crafting business strategy. This article highlights the shift from traditional leadership approaches to AI driven, transformational strategies that empower organizations to stay competitive and innovative quickly.
There you have it, 5 ways AI is fundamentally changing leadership and crafting business strategy. Hopefully this gets your creativity flowing!
Tags: Analytics, AI, Business Strategy
AI is shaking up the way we approach leadership and business strategy. As a leader, I've seen firsthand how AI is changing the game, helping us make smarter decisions and craft innovative strategies that actually work. Business strategy and leadership are changing because of AI.
Let's take a look at 5 relevant examples and case studies:
AI in Decision-Making: Amazon’s use of AI-driven demand forecasting to optimize inventory management and reduce costs.
Personalization with AI: Netflix's AI-based recommendation engine changed personalized content and user experience.
AI in Customer Experience: Starbucks’ use of AI in its loyalty program and mobile app.
Ethical AI Leadership: Microsoft’s commitment to AI ethics and responsible AI development, ensuring trust and transparency in its products.
AI in Talent Acquisition and Retention: Hilton’s use of AI in recruitment, improving candidate matching and reducing hiring time.
What can we learn from these examples? That AI is changing business strategy and leadership approaches. How do you introduce a human touch with the scale of AI? By integrating business strategy and leadership approaches that involve AI, testing and experimenting, then continuing to be agile.
Tags: Analytics, AI, Business Strategy
Business Strategy involving Artificial Intelligence (AI), Generative AI (GenAI), and Analytics has always required a purpose-driven approach. Today even more so. Companies that leverage emerging technology with a purpose-driven business strategy effectively can transcend profit and create lasting, meaningful impacts.
By embedding purpose at the core of your business strategy, you not only drive success but also foster trust, loyalty, and a deeper connection with your customers. This journey requires a thoughtful approach, balancing data-driven insights with human values. Here’s how you can harness AI and analytics to build a strategy that resonates with purpose and leads with impact.
By embracing AI and analytics in your purpose-driven business strategy, you can create a legacy of meaningful impact, where success is measured not only by financial gains but by the difference you make in the world.
Tags: AI, Analytics, Business Strategy
I've been working on a book. This book includes 50 industry expert interviews across AI, Analytics, Business Strategy, and Data Science. The plethora of conversations included entrepreneur CEOs, technical specialists, and those hiring in these burgeoning fields. A common thread I heard across chats was how AI is amplifying, not replacing, to our abilities.
The response is clear: Being human is more relevant than ever. Here are 5 thought starters for you and your team when addressing AI, Analytics, and Business Strategy and emphazing a human touch.
When you meet with your teams do discuss the integration of AI and Analytics in your Business Strategy, hopefully you can kick off the conversation with one or more of the above thought starters. Best of luck!
Tags: AI, Analytics, Business Strategy
There was a shift from intuition to data-driven decision making, leveraging experience an expertise of people who has been there and done that. Technology has come a long way, and it's moving quickly. For a time Analytics reigned king in the hype cycle, and Advanced Analytics, and Data Science, and Machine Learning, then AI, and Generative AI. One thing still holds true, the future of Business Strategy is to integrate the best tools.
The aim here is to provide some thought starters and thought leadership for modern business strategy that integrates AI, Analytics, and whatever is yet to come. Some important aspects to consider:
Tags: AI, Analytics, Business Strategy
Analytics is interesting -- technical people who use it often feel imposter syndrome, non-technical people who encounter it often think it's magic, and both sides often feel overwhelmed at the possibilities.
Here are 20 different types of Analytics, use case, and example to make it all more approachable:
1. Descriptive Analytics
Purpose: Provides insights into past events by summarizing historical data.
Example: Reporting on monthly sales figures, website traffic, or customer demographics.
2. Diagnostic Analytics
Purpose: Explores data to understand the reasons behind past performance or outcomes.
Example: Identifying why sales dropped in a particular region or why customer churn increased.
3. Predictive Analytics
Purpose: Uses statistical models and machine learning to forecast future events based on historical data.
Example: Predicting future sales trends, customer behavior, or demand for products.
4. Prescriptive Analytics
Purpose: Recommends actions or strategies to optimize outcomes based on predictive analytics.
Example: Suggesting pricing strategies, inventory management, or marketing campaigns.
5. Cognitive Analytics
Purpose: Mimics human thought processes to provide more nuanced insights, often using AI and natural language processing.
Example: Chatbots that understand and respond to customer queries or systems that make personalized product recommendations.
6. Real-Time Analytics
Purpose: Analyzes data as it is generated to provide immediate insights and enable quick decision-making.
Example: Monitoring real-time stock prices, website traffic, or social media mentions.
7. Exploratory Analytics
Purpose: Involves investigating datasets to uncover patterns, trends, or relationships without specific hypotheses.
Example: Identifying new market segments or discovering unexpected correlations in customer data.
8. Inferential Analytics
Purpose: Uses statistical methods to make inferences or generalizations about a population based on sample data.
Example: Conducting A/B testing to infer which version of a product or campaign performs better.
9. Diagnostic Analytics
Purpose: Explores historical data to find the root causes of past outcomes or issues.
Example: Investigating why a marketing campaign underperformed by analyzing customer engagement data.
10. Operational Analytics
Purpose: Focuses on improving efficiency and optimizing business processes through real-time data analysis.
Example: Analyzing production line data to reduce downtime or optimizing logistics routes.
11. Behavioral Analytics
Purpose: Studies customer behavior to understand how they interact with products or services.
Example: Tracking user journeys on a website to improve user experience or increase conversions.
12. Text Analytics (or Text Mining)
Purpose: Analyzes unstructured text data (e.g., emails, social media posts) to extract meaningful information.
Example: Sentiment analysis of customer reviews or analyzing open-ended survey responses.
13. Visual Analytics
Purpose: Combines data visualization with analytics to help users understand complex data through visual representations.
Example: Interactive dashboards that allow users to explore data trends and correlations.
14. Spatial Analytics
Purpose: Analyzes geographical or spatial data to understand location-based patterns and trends.
Example: Analyzing retail store performance by location or optimizing delivery routes based on geography.
15. Network Analytics
Purpose: Analyzes relationships and interactions within networks, such as social networks or supply chains.
Example: Identifying influencers in a social network or detecting bottlenecks in a supply chain.
16. Risk Analytics
Purpose: Assesses and quantifies risks to help organizations manage and mitigate them.
Example: Evaluating credit risk for loan approvals or assessing financial risk in investment portfolios.
17. Customer Analytics
Purpose: Focuses on understanding customer preferences, behavior, and lifetime value.
Example: Segmenting customers based on purchasing behavior or predicting customer churn.
18. Web Analytics
Purpose: Analyzes web traffic data to understand user behavior and optimize website performance.
Example: Tracking page views, bounce rates, and conversion rates to improve site design.
19. HR Analytics (or People Analytics)
Purpose: Analyzes workforce data to improve human resource management and employee performance.
Example: Identifying factors that contribute to employee retention or predicting future hiring needs.
20. Financial Analytics
Purpose: Analyzes financial data to support budgeting, forecasting, and financial decision-making.
Example: Analyzing cash flow trends or forecasting revenue growth.
Hopefully that cleared things up!
Tags: AI, Analytics, Business Strategy
In today's world, business strategy can change quickly. It helps to have solid strategic leaders guiding teams, building products, and navigating change. Here are 8 characteristics of Business Strategy Thought Leaders that will be increasingly important with the advent of new technology:
Innovative Thinking: AI and business strategy thought leaders consistently bring new ideas that challenge conventional wisdom and position proucts/services in opportunities of emerging market trends.
Insightful Industry Knowledge: AI and business strategy thought leaders possess an in-depth understanding of their industry as well as adjacent industries. This allows them to identify opportunities and design approaches that drive long-term success.
Analytical Approach: AI and business strategy thought leaders use data analytics and market research as support for their strategy, ensuring recommendations are grounded in evidence rather than intuition alone.
Adaptability: AI and business strategy thought leaders excel in navigating uncertainty and quickly adapting their strategies in response to market shifts, disruptions, and emerging technologies.
Clear Vision and Communication: AI and business strategy thought leaders articulate a compelling vision for the future and can communicate complex ideas clearly to various stakeholders, from C-suite executives to broader teams.
Ethical Leadership: AI and business strategy thought leadersprioritize ethical considerations in their strategic decisions, building trust with their teams, customers, and the public.
Influence and Mentorship: AI and business strategy thought leaders actively mentor others, sharing with others to help promote the whole field. They often have a strong presence in public forums, conferences, publications, and social media.
Long-Term Applicability: AI and business strategy thought leaders balance short-term objectives, medium-term goals, and long-term strategic planning so strategies contribute to sustainable growth and success over time.
By embracing these characteristics, you will elevate your leadership and also inspire meaningful change. Hope this encourages you to take the first step and lead with vision, integrity, and innovation.
Tags: Analytics, AI, Business Strategy
Location: Charlotte, North Carolina Fees: $15,000
Service Type: Service Offered
Location: Charlotte, North Carolina Fees: $15,000
Service Type: Service Offered
Location: Charlotte, North Carolina Fees: $15,000
Service Type: Service Offered