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The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. DPPM itself may therefore also be considered, in part, an enterprise architecture practice.

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

IBM Big Data Hub

Coupled with a current climate that is proving to be increasingly ambiguous and complex, there is a huge opportunity to leverage data insights to drive a more robust, evidence-based methodology to the way we work and manage change. It can show whether perceptions are real, as well as unearthing unexpected insights.

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SEC climate-related disclosure rules for public companies

IBM Big Data Hub

These new rules join existing regulations in both the US and around the world requiring companies to make climate-related disclosures and provide other ESG-related metrics. The original proposed rules, issued in March 2022, aimed to ensure consistency in how publicly traded companies provided climate-related information to investors.

Risk 53
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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. What Is Quantitative Data Analysis?