Gartner Expert

Cindi Howson

VP Analyst

Cindi Howson is a Research Vice President at Gartner, where she focuses on business intelligence (BI) and analytics. Her work includes writing about market trends, vendors and best practices and advising organizations on these subjects. Of particular interest are visual data discovery, augmented analytics, data for good, and best practices for bigger impact from data. Best practices for bigger impact from business analytics include company culture, measures of success, business-IT partnership, executive-level sponsorship and organizational models to support data and analytics. Ms. Howson also has an interest in diversity of IT teams and improving recruitment of women in IT.

Roles and responsibility


BI Director

Data and Analytics Leader

Lines of Business Using BI and Analytics


Previous experience

As the founder of BI Scorecard, Ms. Howson developed an evaluation framework for BI tools and published product reviews based on hands-on testing. She worked with clients on tool selections and strategies for managing BI tool portfolios. Ms. Howson taught for The Data Warehousing Institute (TDWI) and wrote for Information Week. She authored five books, including "Successful Business Intelligence: Unlock the Value of BI & Big Data" and "SAP BusinessObjects: The Complete Reference." Prior to founding BI Scorecard, Ms. Howson was a manager at Deloitte & Touche, helping clients select, implement and optimize BI tools. She started in BI at Dow Chemical in Switzerland in the early 1990s, selecting and implementing BI tools globally. Her entree into BI was designing decision support systems, writing Lotus 123 macros and FOCUS programs.

Professional background

BI Scorecard


Deloitte & Touche


Dow Chemical

Access Tools Leader and Subject Matter Expert

Areas of coverage

Data and Analytics Leaders

Analytics, BI and Data Science Solutions


M.B.A., Management Information Systems, Rice University, Jones Scholar

B.A., English, University of Maryland

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Top Issues That I Help Clients Address

1Comparing and selecting the modern BI and analytic tools, balancing governance with agility

2Organizing BI teams (BICC, ACE) for better business-IT partnership

3Developing a successful BI strategy and program to improve impact, evolve BI and analytic maturity

4Using data and AI for good to improve society

5Improving diversity in BI and analytic teams