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5 tips for excelling at self-service analytics

CIO Business Intelligence

They’re not required to have any experience with analytics or background in statistics or other related disciplines. Having that roadmap from the start helps to trim down and focus on the actual metrics to create. Have a data governance plan as well to validate and keep the metrics clean. That’s a great place to start.”

Analytics 137
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. If they roll two dice and apply a label if the dice rolls sum to 12 they will agree 85% of the time, purely by chance.

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Data scientist as scientist

The Unofficial Google Data Science Blog

Note also that this account does not involve ambiguity due to statistical uncertainty. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. We sliced and diced the experimental data in many many ways.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

conversion rate (it might not be statistically significant!). Very often at Analysts and Researchers we are so into the data, slicing and dicing it, and in trying to get something decent out of that work, that we fail to actually see the data. There are many standard data presentation strategies you should use all the time.

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What Is Embedded Analytics?

Jet Global

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. Interactivity can include dropdowns and filters for users to slice and dice data.