3 lessons on data management from our 2023 survey of CIOs and CTOs
How a VPEM drove progress toward a data-informed campus
4 reasons your team won’t use data—even if they want to
Where are the gaps in your data strategy?
Latest Posts From This Blog
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Creating a data-informed campus: part 3
This post, the final in our series about creating a data-informed campus, outlines how to use data to facilitate institutional effectiveness. Read the blog to learn more about 3 key functions of a higher education analytics organization.
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The 4 most common barriers to higher ed data and analytics success
We surveyed higher ed leaders to identify their goals and challenges in working with data. See the results of our survey in this post!
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Creating a data-informed campus: part 2
A data-informed campus requires more than just technology; it also requires the leadership to set a clear vision for analytics and data at the institution, and qualified staff to execute that vision. This post details the structure and staff needed for a modern higher education analytics function.
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5 key takeaways from an analysis of the U.S. IT labor market
To compete in today’s cutthroat IT labor market, higher ed leaders need to understand the latest labor market trends from higher ed and across industries to inform how they advertise jobs and recruit talent. Read EAB's analysis of nationwide IT job postings in higher ed and explore our five key takeaways from this data.
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Creating a data-informed campus: part 1
From tracking student success metrics to operational efficiency, data and analytics provide colleges and universities crucial information in this period of enhanced scrutiny. This blog post discusses 3 elements of tech infrastructure necessary for a data-informed campus.
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4 reasons to streamline your data reporting
Learn how to improve data reporting at your institution by paring back inefficient reports.
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Where are the gaps in your data strategy?
While colleges and universities are hyper-focused on using data to improve student experiences and outcomes and make better decisions, inefficiency and poor utilization often get in the way. See what we learned from recent data strategy audits and what you can do to improve data management at your institution.
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5 technology investment tips to guide your digital transformation strategy
For data and technology to truly deliver value and drive change, you need an intentional technology investment strategy. Learn 5 steps you can take to enact a tech investment strategy that supports your institution's digital transformation.
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6 steps to build a predictive model
If you use data in any capacity at all, you’re already preparing to build a model. Learn the 6 steps to design a predictive model and see which steps you've already completed.
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