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Six steps to creating a successful IT strategy: A guide for CIOs

CIO Business Intelligence

Step 5: Gap analysis Identifying gaps The gap analysis involves comparing the current state of IT with the desired future state as outlined in the IT strategy. Governance and metrics Establishing a governance structure ensures clear oversight and accountability for the execution of strategic initiatives.

Strategy 133
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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.

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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 52
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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. They also allow you to quantify business value based on improvements and allows you to assign and track key metrics with business objectives. Making it stick: Driving continuous change.

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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

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Examples may include associated revenue, savings, or reductions in operational losses. Monitoring and Event Management X X.