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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Five Questions to Ask Your Higher Ed Tech Tools
In this blog, we have put together five important questions you should be asking of your higher ed tech tools. Learn how to mitigate issues and identify the possibilities within your education’s information systems.
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Intro to Data Prep for Machine Learning Algorithms
Machine learning algorithms can be garnered through properly iterated and automated data prep processes. Learn how to get started with data prep for machine learning.
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Data-Driven Decision Making for Baby Names
Are you having a baby? Why not try using data-driven decision making to choose your baby’s name? That’s what our Senior Analyst, Jon, did with Veera Construct — check it out.
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Enrollment Management Training Video Series
This blog introduces a new enrollment management training video series. Get a better understanding of how to work with data prep and analytics tools in the higher education setting.
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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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Segmentation: The Potential of Higher Predictive Power
If you build models on your data, you’ve probably considered segmenting your modeling effort. A segmented approach to modeling involves building different models for different subgroups. The results can dramatically improve how well you capture the unique behaviors of your population.
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Numbers and Words: Presenting Data in Understandable Ways
Presenting data in your organization can be tricky, especially if you’re speaking to those who don’t typically work with data. Learn how to present data in understandable ways.
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Supporting Women in Data Science
As a way of celebrating and supporting the “Women in Data Science” series, Senior Data Scientist Caitlin Hudon share a few ways that some of the “good guys in tech” have had an impact on her career in the hopes that others can follow their example.
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Data Democratization: Exploring the Possibilities
The buzz-phrase “Data Democratization” came to the forefront for us here at Rapid Insight when recently we led a round-table discussion at an annual conference. Seeing the response to that discussion, I ran the phrase by some customers, some colleagues, and some connections I’ve made to get their reactions too. I received a wide variety of responses. I’m more convinced now than I was at the start- data democratization is worth some thought, wherever you sit in the data-usage spectrum.
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