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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. Final thoughts on data insights for change management. Making it stick: Driving continuous change.

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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Team Upskilling: Train business analysts on planning, gap analysis, scoping & blueprinting, cost-benefit calculation of new initiatives, solution architecture, modelling, elicitation, requirement management, performance management, and other improvement initiatives. Executive Portfolio Management. bn by 2025.

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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.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

These terms that cannot aggregate, like a percentage, are often called non-aggregatable metrics. What Is Quantitative Data Analysis? Quantitative analysis can take two forms: the traditional business analysis of numerical data, or the more academic quantitative analysis.

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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.