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Elevating Healthcare Staffing: From Spreadsheet Chaos to Data-Driven Decisions  

InsightOut

Challenging the Status Quo with Data Insights Historically, Caliber, like many organizations, relied heavily on Microsoft Excel for data management and analysis. Informed Decision-Making: The visual data representation aids in making strategic decisions about resource distribution, service offerings, and partnerships.

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Data-Driven Organizations Must Use Talent Analytics Wisely

Smart Data Collective

We have talked about a number of the ways that business leaders are investing in big data technology and analytics. There are many reasons that the demand for big data in the human resources sector is growing so quickly HR professionals are using big data to make strategic decisions. Big data analytics can help firms save money.

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Agile Digital Transformation for Data-Driven CEOs with Power BI

Jen Stirrup

Nevertheless, it is often difficult for them to find the right amount of time to collect, cultivate, and analyse data, mostly because CEOs need to prioritize strategic decisions. Data is hard, and change is hard. Data is hard, and change is hard. Why Do CEOs Care About Data? Gently, gently, incrementally!

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What does it mean to be data-driven?

Data Insight

Being data-driven means using all your data, regardless of division, team or legacy system, its a holistic approach. In Chapter 3 of The Data Revolution Book, Data Insight Founder and CEO, Carmen Vicelich provides five key questions executive teams need to discuss on their journey to enabling a data-driven culture.

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The steep cost of a poor data management strategy

CIO Business Intelligence

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 110
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6 ways generative AI can optimize asset management

IBM Big Data Hub

These foundation models, built on large language models, are trained on vast amounts of unstructured and external data. They can generate responses like text and images, while simultaneously interpreting and manipulating existing data. They require job plans and work instructions for asset failures and repairs.

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How Data-Driven Decisions Boost the Future of Industrial Manufacturing

Jet Global

The industrial manufacturing industry produces unprecedented amounts of data, which is increasing at an exponential rate. Worldwide data is expected to hit 175 zettabytes (ZB) ?by by 2025, and 90 ZB of this data will be from IoT devices. Managing this increasing amount of data can wreak havoc on your financial teams.