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The Second Pillar of Data Culture: Data Literacy

Alation

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. As decision science author and Cornell professor J. What is Data Literacy? How to Build Data Literacy.

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In Uncertain Times, Data Integrity is More Important Than Ever

Precisely

These results were covered during a panel discussion at Trust ’23, where Josh Rogers was joined by Precisely CMO, Kevin Ruane, and partners from LeBow: Diana Jones, Executive Director at the Center for Business Analytics, and Murugan Anandarajan, PhD, Professor of Decision Sciences and Academic Director, Center for Business Analytics.

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Data Science Cheat Sheet for Business Leaders

Pickl AI

” Predictive Analytics (Machine Learning): This uses historical data to predict future outcomes. Prescriptive Analytics (Decision Science): This goes beyond prediction, using data to recommend specific actions. How Do I Prepare My Business for Data Science? Identify any gaps that need to be filled.