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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? Boost Your Team’s Data Literacy.

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In Uncertain Times, Data Integrity is More Important Than Ever

Precisely

Forward-thinking businesses invest in digital transformation, cloud adoption, advanced analytics and predictive modeling, and supply chain resiliency. 2023 Data Integrity Trends & Insights Results from a Survey of Data and Analytics Professionals Read the report Here are some of the top takeaways that stood out to panelists.

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Data Science Cheat Sheet for Business Leaders

Pickl AI

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Think of it as summarizing past data to answer questions like “Which products are selling best?” The Data Science Workflow Data science isn’t magic.