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The Aggregation of Marginal Data Prep Gains

Data measures what we do on a day-to-day basis so it’s no surprise that strategies and habits that help us in our day-to-day can also help us with our data. There are a vast number of ways you can make your life easier by adopting little habits and optimizing the way you do certain things.

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Seven Essential Data Prep Tasks for Self-Service Analytics

In this blog post, Rapid Insight Analyst, Alexander Ziko, discusses the seven essential data prep tasks for self-service analytics. Learn how the combination of data prep tasks mentioned within can help organizations in every industry, make strategic data-driven decisions.

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Predict the Best NHL Fantasy Lineup

Senior Analyst Jon MacMillan put together some data-driven NHL fantasy lineups in order to create the best fantasy team. Learn how he used predictive modeling to build his team and how his NHL fantasy lineup is doing this season.

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Takeaways from the HIMSS Conference 2018

Rapid Insight recently attended the Big Data and Healthcare Analytics Forum portion of the HIMSS conference in Boston. Learn about the innovative technologies in the healthcare industry and the key takeaways from HIMSS.

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Collaboration At Work: Better Together

Enabling collaboration at work with data preparation and analysis is one of our greatest points of pride at Rapid Insight. In this blog, Alisha and James discuss how each performs within the same tools, but in different ways entirely.

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Data Cleanup: Are We Done Yet?

Data cleanup takes a long time, especially if you’re looking to create visual analytics. Learn how to do data prep at a faster, more simplified rate with the right wrangling tool.

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Self-Serve Data Prep for Machine Learning

Machine learning is a popular form of business analytics. With advancements in data collection, as well as progressive tools that allow ease of access to that data, robust models can cultivate information on newly minted datasets that help business analysts make strategic decisions based on the data that they have.

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