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What is DataOps? Principles and Benefits

Octopai

A successful data analytics team is one that can increase the quantity of data analytics products they develop in a given time while ensuring (and ideally, improving) the level of data quality. When it comes to data analytics products, you really, really don’t want them to be populated by bad data.

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What Is DataOps? Definition, Principles, and Benefits

Alation

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

The Billie BI team has decided to share the code for their testing project to help other data teams using Sisense for Cloud Data Teams. “We We believe this can help teams be more proactive and increase the data quality in their companies,” said Ivan. He works on reporting, analysis, and data modeling.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

When you are presenting, to an audience of 3 or 3,000, your goal should be to get the data out of the way as fast as you can, so that you can move to the so what conversation. First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014. Don't make the difference between 1.4%