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Eating the Elephant of Data Strategy

Paul Blogs on BI

When they try to include implementing a new cloud ERP or other application and adding in a Data Governance initiative just for good measure, it becomes a gigantic undertaking. If they also decide to include converting to new BI tools and adding new generative AI tools, it becomes monster-size!

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The art and science of data product portfolio management

AWS Big Data

In the same way, organizations seeking to implement successful data mesh strategies must respect the nature and structure (legal, political, commercial, technology) of their organizations in their implementation. How do we define “risk” and “value” in the context of data products, and how can we measure this?

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts. There is a common conception that introducing new technology will make things faster and easier, but this isn’t always the case.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. A big part of data analysis includes understanding what’s essential about collected information. Measures of central tendency. Percentages.