https://er.educause.edu/channels/analyticsThe RSS feed for items contributed to the Analytics channel in EDUCAUSE Reviewen{333AD17B-706B-4C76-BA81-3681202F43E8}https://er.educause.edu/articles/2026/5/making-the-invisible-visible-redesigning-an-onboarding-workflow-for-international-studentsRedesigning an onboarding workflow improved visibility, reduced manual coordination, and helped staff manage a compliance-sensitive process more reliably during peak periods.{64DD40A9-21F0-4BD3-9D55-38F0489DCBCE}https://er.educause.edu/articles/2025/10/from-data-to-decisions-enhancing-faculty-development-with-analyticsData analytics can be used to inform the design of faculty professional development programs, ensuring that educational content is aligned with faculty interests and needs, ultimately strengthening engagement and completion rates.{85621A89-54D1-42F2-91F3-29729A9C3772}https://er.educause.edu/multimedia/2024/6/fostering-a-data-oriented-cultureAt the University of California, Irvine, a data-driven transformation is fostering a collaborative environment for informed decision-making. With high adoption rates and a collaborative spirit, the Compass Initiative leverages millions of data points to guide students toward success.{414C0161-6EF9-49C1-89DF-4FBAD7807E85}https://er.educause.edu/articles/2024/6/you-cant-have-digital-transformation-without-data-governanceIf digital transformation is enabled by data and analytics and if data and analytics requires data governance, you can’t have digital transformation without data governance.{B042D26E-5585-4090-BE85-72F0ABB90232}https://er.educause.edu/articles/2023/8/a-rubric-accompanying-the-student-success-analytics-frameworkPractitioners across campus can use a newly developed rubric to help create and sustain student success initiatives.{1753ACC1-057F-4703-AA4F-3BE524D70B18}https://er.educause.edu/multimedia/2023/4/the-critical-role-of-data-in-determining-strategyCASE President and CEO Sue Cunningham discusses the increasing importance of data in long-term decision-making.{BBA48C06-D980-4421-9297-DF7F4853FEBF}https://er.educause.edu/articles/2023/2/educause-quickpoll-results-reorganizing-data-functions-for-todays-analyticsHow institutions structure their data functions is as imperative as the data itself. To achieve a data-driven culture, and enable data-informed decision-making, some institutions are evolving their structures to adapt to the data and analytics needs of their stakeholders.{E76B403E-9303-4BA1-87B5-2EE4CDD11D06}https://er.educause.edu/articles/2023/2/a-modern-framework-for-institutional-analyticsAn effective institutional analytics program has become essential to providing proactive student services and informing strategic actions. Leveraging a modern framework that describes the elements of a mature data and analytics program can help colleges and universities obtain actionable insights.{BCEE0DE0-9C45-44DF-A6FA-D3B44D109F2B}https://er.educause.edu/articles/2023/2/seeing-data-using-visualization-to-reveal-insights-and-make-decisionsEffective visual representations can help higher education bridge silos and unleash the power of data.{2A1B30DE-5AA5-4355-942A-6CC36B4866D0}https://er.educause.edu/articles/2022/9/weathering-the-storm-targeted-and-timely-analytics-to-support-disengaged-studentsAnalyzing data across the institution to build a true picture of student engagement and using targeted, scripted reporting for meaningful insights has significantly impacted student retention at Charles Sturt University.{B97DA05B-DFA2-46FE-85BF-89C7E8EA945D}https://er.educause.edu/multimedia/2022/8/a-framework-for-student-success-analyticsThis framework introduces four central components of a student success analytics initiative.{34D06D2A-8B35-4281-A40C-6C6CF0AD9CF4}https://er.educause.edu/articles/2022/2/analytics-and-dei-at-uc-mercedLeaders at the University of California, Merced have applied the principles and tools of analytics to address issues of equity for faculty, staff, and students. {00790918-20AF-436A-A383-927B6E14A032}https://er.educause.edu/articles/2021/8/data-solutions-for-decision-support-maturity-at-drake-universitySimply having access to data doesn't lead to an increase in the use of data to make decisions. Rather, the path to the effective use of data to support decisions starts with an understanding of the problems to be solved. {4DCFBF61-DA61-4DCB-93D1-73A259C74ED3}https://er.educause.edu/podcasts/educause-community-conversations/addressing-dei-issues-through-analyticsJohn O'Brien talks with three IT leaders working with data and analytics to develop a more fair and equitable journey for students.{FAEDBBD4-35AE-4947-974F-EC2F92190FB3}https://er.educause.edu/podcasts/educause-community-conversations/judy-miner-and-joe-moreau-on-analyticsEvery institution has to decide when the importance of using analytics becomes bigger than the doubts and hesitations. Originally recorded on August 24, 2021.{E0F86D82-17CB-489E-A203-43AD017F48D4}https://er.educause.edu/articles/2021/8/discrimination-in-a-sea-of-data-exploring-the-ethical-implications-of-student-success-analyticsIn a sea of data, the use of student success analytics may unintentionally result in consequences that benefit some students while harming others.{F36FF8F6-6DCC-404F-AF7B-461A2CFADE53}https://er.educause.edu/multimedia/2021/8/community-conversations-judy-miner-and-joe-moreau-on-the-imperative-to-use-analyticsEvery institution has to decide when the importance of using analytics becomes bigger than the doubts and hesitations.{27771E20-FEAF-4AD9-835E-54642BE93241}https://er.educause.edu/podcasts/educause-exchange/the-pitfalls-of-analyticsTo deploy an analytics strategy effectively, institutions must avoid missteps at all phases of the project. We asked several IT leaders what stumbling blocks to consider when using analytics.{4E269300-738A-4662-8AD7-DC5F44DF41DE}https://er.educause.edu/blogs/2020/7/answering-new-questions-in-the-wake-of-covid-19-insights-from-an-eli-analytics-roundtableAs institutions prepare for fall 2020 and beyond, they are exploring their needs for data and analytics. These efforts emphasize measuring and improving student engagement, but many questions remain unanswered.{0F2AA3D5-720F-4FA9-929E-27E8AF12EAD4}https://er.educause.edu/multimedia/2020/6/creating-a-culture-of-analyticsAn important tool to address how institutions are failing certain student populations is analytics. Colleen Carmean discusses how we can do the work of finding out why we are failing and commit to change.{63F2DF3E-C860-4EA7-8FBC-9A6C94A6DBF1}https://er.educause.edu/blogs/2020/6/a-data-practitioners-view-on-synchronous-teaching-and-student-successPublishing key data points about the transition to synchronous teaching and learning is helping Arizona State University to be more transparent about the work that is being done to support students and faculty.{CEDF2106-6548-45CD-90A8-F832076F839E}https://er.educause.edu/blogs/2020/5/educause-covid-19-quickpoll-results-student-success-analyticsColleges and universities must decide how to structure learning environments for the fall academic term and beyond to deliver quality instruction while maintaining the safety of the academic community. For many, the trove of data from the spring 2020 term is a source of valuable insights in this effort.{065527A9-7443-4B07-B398-7C089758E9A9}https://er.educause.edu/multimedia/2020/5/the-cio-minute-data-as-a-proxy-for-student-engagementAnalytics have been an important part of measuring student engagement at UMBC, especially during the pandemic.{758DCA63-A1A1-4BFD-A208-6F8D0C4FBEA7}https://er.educause.edu/articles/2020/5/digital-ethics-in-higher-education-2020New technologies, especially those relying on artificial intelligence or data analytics, are exciting but also present ethical challenges that deserve our attention and action. Higher education can and must lead the way.{3AB4D284-C484-4C7E-9D66-17115A51443C}https://er.educause.edu/blogs/2020/4/more-than-a-score-extracting-the-greatest-value-from-predictive-modelingIt's tempting to seek predictive-modeling quick fixes, but colleges and universities can miss opportunities along the way if they don't embrace the journey.{1C421369-51E0-4EC2-B3EC-5A9DBFBC2A1C}https://er.educause.edu/blogs/2019/12/not-sure-if-theyre-invading-my-privacy-or-just-really-interested-in-meAn analysis of 2019 ECAR student and faculty data reveals that neither faculty nor students have a strong understanding of how their institution uses their personal data; faculty have less confidence in their institutions' abilities to safeguard private data than students do.{34E0FE4C-BA48-4E98-86D5-2B4E96A2A600}https://er.educause.edu/blogs/2019/12/how-mission-aligned-analytics-questions-can-support-institutional-transformationUsing analytics tools to answer institutional mission- and goal-aligned questions can help to facilitate the implementation of Dx initiatives.{A5B45B3F-72F3-431D-BFE2-03115CD135A0}https://er.educause.edu/articles/2019/12/culture-care-and-predictive-analytics-at-the-university-of-south-floridaWhen the University of South Florida sought to increase rates of persistence and graduation, it empowered a cross-functional team of caring professionals to take action on insights generated from analytics systems.{8EE0FC32-1AAB-4822-B2D6-57B9A70C7273}https://er.educause.edu/articles/2019/12/predictive-analytics-for-student-dropout-reduction-at-pontificia-universidad-javeriana-caliAn analytics program at Pontificia Universidad Javeriana Cali uses machine learning and big data techniques to identify in a timely manner those students who are at risk of dropping out and then apply preventive actions to try to keep those students enrolled.{025A92D7-942C-456B-B4A9-2D53A39D74D0}https://er.educause.edu/blogs/2019/10/culture-can-wait-the-importance-of-data-literacyData literacy can help colleges and universities create cultures that value assessment and continuous quality improvement.{1AC8A6DD-B01B-4CE6-BE20-907669B67929}https://er.educause.edu/articles/2019/10/from-learning-to-data-analytics-some-implications-for-it-strategy-and-transformationA largely tacit redefinition of enterprise data prompted by the emergence of learning analytics is, in combination with new cloud technologies, opening up opportunities to think about the mission of the IT organization.{5FD227FD-FB09-43E0-89E9-9073072E84AE}https://er.educause.edu/blogs/2019/9/keys-to-an-analytics-future-governance-collaboration-and-communicationAt the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This third in a series of three blog posts discusses the importance of governance, collaboration, and communication to an analytics future.{8A3221B4-DBAC-49EF-9792-455F9FAEC403}https://er.educause.edu/blogs/2019/8/the-impact-of-analytics-on-the-higher-education-workforceAt the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This second in a series of three blog posts looks at the need for faculty and staff to develop skills and competencies in data management, data analysis, and communication in order to navigate and work in an increasingly data-oriented culture.{ED243E85-81D7-405E-AB2E-2DB24C943B80}https://er.educause.edu/articles/2019/8/10-best-practices-to-ensure-data-governance-efforts-will-fail-plus-10-best-practices-for-successThe authors highlight common challenges surrounding data management and governance in today’s higher education institutions by offering both tongue-in-cheek and serious best practices.{67ADB8BA-7616-4118-8869-5CBA9385009C}https://er.educause.edu/blogs/2019/8/why-data-and-analytics-matter-and-why-they-matter-nowAt the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This first in a series of three blogs looks at the potential for analytics to help address critical challenges in higher education.{C13C6AF4-9281-4D7F-B2EF-706A8110A415}https://er.educause.edu/articles/2019/5/21st-century-analytics-new-technologies-and-new-rulesToday’s designers of data analytics systems are using thirty-year-old mental models around scarcity of compute and are thus crippling their designs, not fully realizing how radically different 21st-century analytics has become.