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8 strategies for accelerating IT modernization

CIO Business Intelligence

Feats like that have ramped up pressure on CIOs to not just modernize, but modernize faster so they’re ready to seize new opportunities as they arise by having infrastructure that can support emerging technologies and a team that isn’t mired in maintenance mode. Technology modernization without purposeful application produces novelty at best.

Strategy 140
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In transition: How Kyndryl’s CIO weaned the company off IBM’s systems

CIO Business Intelligence

We didn’t do fit-gap analysis workshops because 95% of the time, the solution looks exactly like what the teams have today,” he says. “We This can become a self-fulfilling prophecy as new IT graduates shy away from mainframes and turn to cloud technologies instead to avoid finding themselves in a career dead-end.

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The art and science of data product portfolio management

AWS Big Data

In the same way, organizations seeking to implement successful data mesh strategies must respect the nature and structure (legal, political, commercial, technology) of their organizations in their implementation. Approves changes to data product technology architecture. Service Validation and Testing X X.

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An archetype-based approach to driving your global workforce transformation

CIO Business Intelligence

As technology becomes ever more important to strategy, IT leaders are reconsidering their workforce compositions. Acknowledging these challenges and complexities, how can one pressure-test their spreadsheet exercise against the realities of execution? What key technologies are they using? Configuring a package solution?

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What’s the Difference: Quantitative vs Qualitative Data

Alation

A good example of segmentation from the early days of analytics is Postal/Zip Code Analysis. Generally they would only capture a zip code due to technology limitations. What Is the Role of Statistics in Quantitative Data Analysis? Two of the most common types of inferential statistics are: Regression analysis.