Remove Data Processing Remove Descriptive Analytics Remove Measurement
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4 imperatives for making business intelligence work

O'Reilly on Data

As BI evolves from traditional reporting and descriptive analytics toward data science and AI, many practitioners fear that new capabilities will make their skill sets obsolete.Fighting new initiatives is, perhaps, a natural preservation instinct. Today, few firms qualify success properly.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Moving beyond introductions, i.e., the more descriptive and anecdotal aspects, Kahneman explored tools we can use to overcome the effects of cognitive bias. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population. See you at Rev 3 in 2020!

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

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What Is Embedded Analytics?

Jet Global

Decrease costs by improving inventory management of goods, monitoring processes to increase resource utilization, or simply making it faster and easier for users to access the analytics they need. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports.