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How to Prepare Your Data for IPEDS Reporting

IPEDS survey reporting is an annual requirement for universities participating in federal student financial aid programs. And preparing, importing, and formatting your data for IPEDS demands pinpoint accuracy. Here’s a solution to make that process much easier.

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Leveraging Veera Bridge for Student Success

Every college has a different strategy for student success, but they all revolve around one core function: getting good data to the right people at the right time. But that process has always been easier said than done—until now.

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Valuing Your Customers’ Value: Preventing Customer Churn

Leveraging data can tell you where customer churn is hurting your business — when churn occurs, which types of customers tend to leave, and where improvements can be made. Using predictive analytics, forecast which segments will see high rates of churn and become proactive about retaining those customers.

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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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