MSCHE 2018: How Can Data-Informed Decision Making Impact Your Accreditation

Today, over 100 MSCHE attendees came to the Frostburg State University (FSU) presentation on using a data platform to inform institutional assessment. FSU partners with HelioCampus to provide the data infrastructure and data science services to ensure that decision making and resource allocation are well informed by data. Sara-Beth Bittinger, Ed. D., Director of Assessment and Institutional Research and Denise Murphy, Assistant Vice President for Finance and Budget, from FSU walked the audience through how data is transformed in the data warehouse and translated into visualizations to inform decision making. Specific examples include analysis and visualization of the elements of the admissions funnel to inform recruitment strategies, efforts to better understand past institutional aid packaging practices to inform current financial aid strategies, and the development of a robust toolkit designed for academic department chairs to help them effectively manage their departments.

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Why Use “Ensemble Approaches” for Forecasting?

If you wanted to predict how much corn would be sold at a farmer’s market stand this summer, you might ask multiple people to make educated guesses using different methods. One person might be a farmer who knows how the crops are doing in the region this year, one might be the person who has operated the stand for the past 3 years and has a good understanding of the seasonal purchasing patterns, and one might be a statistician with a table of the last 5 years’ of weekly sales.

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Tableau Public Visualization Makeover: US Tuition Trends

Hi! I’m Renee Teate, one of the Data Scientists at HelioCampus. In order to practice thinking through the types of decisions that I often need to make when presenting data visually, I thought I’d give Tableau’s “Makeover Monday” challenge a try, and share my choices with you here on the HelioCampus blog! I searched through the available datasets, and found one that is relevant to higher ed, called “Average Tuition in the United States” (see May 2016).

This is the original data visualization example presented to be made over:

(reference)

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