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8 strategies for accelerating IT modernization

CIO Business Intelligence

Traditionally, such an initiative would involve business process analysis, a fit-gap analysis, and process re-engineering — all of which eats up time. But gen AI and large language models (LLMs) can get around these challenges, which drag down the velocity of many modernization projects.

Strategy 140
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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. It is growing at a CAGR of 23.0% and shall touch USD 65.4

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An archetype-based approach to driving your global workforce transformation

CIO Business Intelligence

And though modeling the composition of a to-be workforce is a necessary and smart first step, it represents only the tip of the iceberg. In other words, it’s unrealistic to redeploy a role as part of a different sourcing model and expect instant productivity gains. What skills will enable operations in the new model?

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SEC climate-related disclosure rules for public companies

IBM Big Data Hub

IBM Consulting Sustainability Services can assist organizations in addressing the SEC’s climate disclosure regulations through a comprehensive approach that includes data curation, gap analysis, strategy development and reporting services.

Risk 57
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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs. The architecture approach is split into a data intake layer, a data analysis layer, and a data visualization layer.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

Easy to analyze: Data users can easily use mathematical models to analyze quantitative data. In gap analysis , past and current state data is compared to evaluate performance or make decisions about what needs to be done to fix a problem. Not always expensive: Free or low-cost survey tools can make gathering information cheaper.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

Elements of enterprise AI, such as using data management and generative AI foundation models to drive added value. Skill-gap analysis Organizations can input a ton of information about their employees’ performance and certifications and use machine learning to identify areas where they need more training.