Part II: How Predictive Analytics is Transforming Higher Education Retention
Retention rates measure the percentage of first-time, full-time undergraduate students who return to the same institution the following fall. Boosting retention rates is critical to an institution’s financial health, the satisfaction of its current students, and the long-term perception of its value. This blog post will dive into how predictive analytics comes into play.
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Part I: How Predictive Analytics is Transforming Higher Education Enrollment
Most institutions have access to a wealth of data that can help meet enrollment goals, boost retention rates, and drive more effective decision making. However, this data often resides in silos around campus, making it very challenging for institutions to glean insights or develop action plans. This is the first post of a two-part series that will explore the benefits of using predictive models on enrollment and retention.
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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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Data Prep for Machine Learning: Improve Your Training Data
In this blog post, we walk through the finer details of the data prep process, including why the training data is vital to your machine learning and predictive analytics.
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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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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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