Insights

Blogs, tutorials and case studies from our product experts and industry thought leaders to learn how to get the most out of your data.

Data Science:

Lower income individuals may be at higher risk to contract COVID-19

In this blog post, we host a story from the Institute of Design-Driven Analytics by Neil Gonputh, who digs into the link between income and COVID-19 rates.

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Predictive Models: More Data, Better Insights on COVID-19

Data is the key to building accurate and robust models to help us predict trends and outcomes – models which have shaped our global response to COVID-19.

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The Roche Data Science Coalition: Collaboration in Crisis

As the pandemic continues to evolve, we continue to collaborate with the Roche Data Science Coalition to better understand and combat the virus.

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Streamline Your Data Science with Namara

Discover how the Namara platform helps organizations use more data with more confidence and less overhead with the latest feature updates.

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Two Simple Business Principles To Get The Most Out Of Data

Data science, data analytics, and how to become truly data driven. Improve digital transformation outcomes and strengthen your overall business strategy.

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Provenance in COVID-19 Data

Video demonstration of our process for data provenance and capturing data directly from the source.

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Using Data to Combat COVID-19

The psychology behind the resistance against social distancing, and how data scientists can leverage data on COVID-19 to help during a global pandemic.

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The Difference Between Data Cleansing and Data Enrichment

There are plenty of steps between raw data and data that's ready for modeling & analysis – here's difference between data cleansing and data enrichment.

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Adapt or Die: why your business strategy is failing your data strategy

Data projects are failing, but the problem isn't your data team – find out why business goals and data outcomes aren't lining up and what to do about it.

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Want to be data-driven? Better start thinking about DataOps

There's value in external data, but getting it, and getting it into shape, is not so easy. DataOps is the missing piece of the puzzle.

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