Remove 2017 Remove Data Quality Remove Statistics Remove Testing
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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts.

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UK’s new digital strategy promises change – will it deliver?

CIO Business Intelligence

Better data to power decision making. The mission also sets forward a target of 50% of high-priority data quality issues to be resolved within a period defined by a cross-government framework. Secure, efficient, and sustainable technology. The same bodies are also failing to attract top digital talent. Pay and Notify.

Strategy 103
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What is SSDP and Can it Truly Make Analytics Self-Serve?

Smarten

With self-serve data prep, data analytics moves out of the sole domain of analysts and IT and into the domain of business users. IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

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What is Augmented Analytics and Why Does it Matter?

Smarten

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. We derive our measurement of data quality, ICC, from the variance parameters in the model.$$

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).