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Eating the Elephant of Data Strategy

Paul Blogs on BI

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. This is where the infamous “How do you eat an elephant?”

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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. Strategies for measuring value and prioritizing data products are explored later in this post.

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

AWS Big Data

As hospitals generate this data, they can use their organization data or ingest data from other hospitals to derive analytics and competitive comparison. Our AWS teams can assist you to identify the correct strategy by offering thought leadership and prescriptive technical support for price transparency analysis.

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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.

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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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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

The rise of AI is fundamentally remaking corporate strategy. 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.