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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

Moreover, within just five years, the number of smart connected devices in the world will amount to more than 22 billion – all of which will produce colossal sets of collectible, curatable, and analyzable data, claimed IoT Analytics in their industry report. Exclusive Bonus Content: Understanding KPIs & reports – A summary!

KPI 223
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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem.

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CIOs rise to the ESG reporting challenge

CIO Business Intelligence

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 116
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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

In essence, in this post, we will explain all the details needed for dashboard reporting and creation, compare interactive vs. static reporting, and provide tips and tricks to make your business perform even better. Interactive Dashboards vs. Static Reporting. Let’s get started. What Is An Interactive Dashboard?

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Quantitative and Qualitative Data: A Vital Combination

Sisense

All descriptive statistics can be calculated using quantitative data. It’s analyzed through numerical comparisons and statistical inferences and is reported through statistical analyses. Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS).

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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 2) Uncovering Fresh Business Insights.