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How customers can save money during periods of economic uncertainty

CIO Business Intelligence

Saving money is a top priority for many organizations, particularly during periods of economic uncertainty. Part one demonstrated how Zscaler helps businesses drive efficiency and reduce spend by optimizing technology costs, enhancing user productivity, and increasing security posture.

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Optimize SAP Data Analysis for a Sustainable Future

Jet Global

Top Reasons for a Heavy Carbon Footprint From Your Supply Chain Keeping supply chains operating seamlessly in geopolitical and economic uncertainty is not a new challenge for global manufacturers, though it may feel like supply chain turbulence has become the new normal. Total dependence on fossil fuels.

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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

We chose Amazon QuickSight because it gave us dynamic and interactive dashboards embedded in our application, while saving us money and development time. We created a QuickSight dashboard as a proof of concept, and it surpassed our expectations because of its advanced visualizations.

Metrics 98
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How to Move from Real-Time Data to Real-Time Decisions

CIO Business Intelligence

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. Yet a lot of data still ends up on a dashboard.

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The Art and Science of FP&A Storytelling

Timo Elliott

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Dashboards and analytics have been around for a long, long time. First, because uncertainty exploded. I’ve worked with hundreds of dashboard and data visualization projects over the years.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. ERP dashboards. Optimization analysis models. Clinical DSS. Model-driven DSS. Sensitivity analysis models.

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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Data engineers ensure that all the ingested, processed, and transformed data culminates in actionable, reliable products—be it a predictive model, a dashboard, or a data export.

Testing 169