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Rich Huebner, PhD

Hull, MA, United States

Dr. Rich Huebner has over 25 years of experience working with data. I have worked as a data analyst, database administrator, data architect, IT Project Manager, data engineer, Manager of Information Systems, and is currently a Director of Data Science & Data Architecture at Houghton Mifflin Harcourt. I lead a team of data scientists working to help school districts make better decisions for their students. We often target school districts that need significant help improving their student's achievement. I have also published numerous peer reviewed articles on data science and analytics. I can assist organizations with assessing current analytic capability and maturity, help them develop strategies and road maps for success, and also train executives and managers on analytics approaches.

Available For: Authoring, Consulting, Speaking
Travels From: Boston, MA
Speaking Topics: analytics, data science

Rich Huebner, PhD	Points
Academic	0
Author	1
Influencer	0
Speaker	0
Entrepreneur	0
Total	1

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Areas of Expertise

Analytics 30.04

Change Management 30.03

Emerging Technology

Leadership 30.01

Management

Predictive Analytics

Industry Experience

Engineering & Construction

Healthcare

High Tech & Electronics

Higher Education & Research

Pharmaceuticals

Professional Services

Utilities

Publications & Experience

1 Article/Blog

How do leaders support data mining and analytics projects?
AABRI - Academic and Business Research Institute
April 01, 2019

There are challenges associated with implementing data science, data mining, and
analytics projects. Previous literature has explored the variety of technical and individual factors
that relate to data mining success. However, a gap exists in the examination of the organizational
factors that relate to data mining. These organizational factors have not been widely explored to
date, which has left top leaders with little guidance on how to lead and manage these types of
projects. This paper provides an examination of the role of the executive leader and their
relationship and involvement in data science and analytics projects. The main research question
focuses on whether top management support is a critical factor in the successful implementation
of data science and related projects. This research effort is designed to provide leaders with
specific strategies when implementing data science and analytics projects. The paper examines
leadership from the perspective of the Theory of Planned Behavior (TPB), initially developed by
Ajzen (1985), and provides specific recommendations that leaders can follow for ensuring that
data science, data mining, and analytics projects are successful within their organizations.

See publication

Tags: Analytics, Change Management, Leadership