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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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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

While we are at it, Gartner’s 2022 report on business composability further pushes the need for analytics. Process Upgrade: Ensure following industry standards and benchmarking the process against the Business Analysis Body of Knowledge (BABOK) and modernize them. Executive Portfolio Management. Financial Management .

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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. IBM offers products that help organizations track and report their environmental impact, and their exposure to climate risk. How can IBM help?

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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. Defining the unit of 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.