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Eating the Elephant of Data Strategy

Paul Blogs on BI

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.

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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. Until now, they were proactively involved to maximize IT efficiencies and accelerate cost savings in general.

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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. There is a common conception that introducing new technology will make things faster and easier, but this isn’t always the case.

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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. Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

CHROs, specifically, should take a leading role in decision-making when it comes to what skills technology automates and which ones remain mission-critical skills handled by employees. Healthcare Hospitals and healthcare providers are incorporating AI technologies into their back offices and diagnostic care facilities.

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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.