Organizational Data Culture: Linking Decision-Making Styles to Data Maturity by Suzannah Hicks

Published On: May 31st, 2024Last Updated: June 5th, 20241.2 min read
Table of contents
Share Post
Organizational Data Culture: Linking Decision-Making Styles to Data Maturity by Suzannah Hicks

Organizational Data Culture: Linking Decision-Making Styles to Data Maturity by Suzannah Hicks

By Suzannah Hicks

This presentation will delve into the relationship between an organization’s decision-making style and its data maturity level, and how this impacts the adoption of an organizational data culture. Led by AI Strategist Suzannah Hicks, the session will define key concepts such as organizational decision-making styles and data maturity level assessments, highlighting the measurement instruments used in the primary research.

Relying on primary research conducted by the presenter, the presentation will reveal the correlations found between decision-making styles and data maturity levels. Additionally, it will shed light on the challenges organizations may face when their decision-making style is not aligned with their data maturity level.

The presentation concludes with practical strategies for organizations to cultivate a strong data culture, enhance their data maturity, and ultimately make more informed, data-driven decisions. Join us to gain valuable insights and actionable advice on aligning your organization’s decision-making processes with its data maturity journey.

About the Speaker

Suzannah Hicks

Suzannah Hicks, AI Strategist, Merchants Fleet

Suzannah Hicks is the AI Strategist for Merchants Fleet, North America’s fastest-growing fleet management company. She leads AI strategy and development, including solution development, data governance, and AI literacy programs. Suzannah is completing her doctorate in Business Administration – Organizational Development, with a dissertation titled “Adoption of an Organizational Data Culture: Applying the Theory of Diffusion of Innovations to Drive Organizational Change.”

Big Data Framework

Stay in the loop

Subscribe to our free newsletter.