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Eating the Elephant of Data Strategy

Paul Blogs on BI

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. Yet, all these items are within the realm of a Data Strategy so where do you start?

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The art and science of data product portfolio management

AWS Big Data

This is due to a common misconception about data mesh as a data strategy, which is that it is effectively self-organizing—meaning that once presented with the opportunity, data owners within the organization will spring to the responsibilities and obligations associated with publishing high-quality data products.

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

IBM Big Data Hub

Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world. Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts.

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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.