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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data.

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Unlock Your Oracle ERP Data: Discover the Angles Views Lite and Wands for Oracle Advantage

Jet Global

With limited technical capabilities your team might struggle to slice and dice data, uncover hidden patterns, or perform deep dives into specific areas. This newfound confidence in data integrity empowers your team to make more informed decisions and build a solid foundation for strategic planning.

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How Product Analytics Differs From Embedded Analytics and Why You Need Both

Jet Global

Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world. What data does it provide? Any data covering any metric your users might want to see.

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What is the Business Intelligence Cycle?

Jet Global

The capacity to facilitate exploration differentiates business intelligence, allowing users to quickly and easily slice and dice their data in various ways to produce meaningful insights that direct leaders toward better business decisions. These four stages are the “business intelligence cycle.”

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What Is Embedded Analytics?

Jet Global

Healthcare is forecasted for significant growth in the near future. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group.