Readily available data can be a powerful resource for institutional decision-makers—when it is accurate. But ensuring consistency and accuracy of usable data is a common challenge on many campuses. How can institutions make the right decision if they aren’t even sure the data supporting that decision is accurate?
Let’s set a scene: A cabinet meeting with institutional stakeholders is underway. The president asks a question about the cost of persistence, triggering different reports—and different answers—from student retention, advising, and finance departments. The problem here is not the lack of data, but the consistency between data sources. Which instance is correct and how can stakeholders know for sure?
This is a prime use case for leveraging a single source of truth—a unified data lakehouse that turns traditionally segmented data resources into a singularly shared repository and enables teams to see insights through dashboards and visualization tools. When departments and users across campus all use the same information, they can set common objectives, align key performance indicators, and improve operational performance and decision-making. Going forward, the answer to today’s data management problem isn’t “more reporting,” the answer is “shared reporting.”
Identifying the Different Elephants in the Room
Running “the same” reports using different data is like following a broken compass; you may appear to be moving forward, but you could be going in the wrong direction. If stakeholders are arriving at vastly different conclusions to the same problem, confidence erodes and agility decays.
Meanwhile, institutions are already strapped for resources today. If institutional research or IT teams are constantly being pulled away from critical work to manually perform siloed analyses, they are wasting valuable time and effort that could otherwise be used on high-value initiatives to positively impact the broader campus.
Given all the possible variables, it’s important to see that there may be more than one data management elephant in the room. Data silos can cause teams to operate on their own island and make their own decisions based on their limited data. Inexperience or lack of training may mean users stick to the status quo. Meanwhile, staff may be using inaccurate or incomplete information due to poor maintenance or the lack of visibility into other areas on campus.
To eliminate all these challenges, institutions need to take a unified approach.
The Best Way Out Is Through (Unification)
Among the many options for improving data management issues, institutions may consider taking a three-pronged approach: establish governance protocol, build data literacy, and leverage a unified technology platform.
1. Set Expectations on Campus
Institutions need to take a campus-wide approach to data management, treating data as an institutional asset, not a departmental resource. This should start from the top with leadership setting expectations that data must be shared across the organization. To do so, leadership can create governance protocols, like implementing security or role-based access to certain types of data and assigning stewardship, that ensures provenance and minimizes potential for error.
Additionally, leadership needs to convey the importance of communication and transparency. Staff need to know how to communicate what metrics mean, what they don’t, and how decisions will be made using institutional data.
2. Educate the Masses
Given the abundance of data that institutions are responsible for managing, it is critical that staff have the skills and knowledge to be able to do so effectively. Yet, data literacy is a challenge for many institutions, especially smaller organizations with limited resources. In fact, data skills and literacy, particularly for decision-makers, were among the 2026 EDUCAUSE Top 10.
Investing in training and practical literacy like educating staff on interpreting trends, asking good questions (and knowing what questions to ask), and understanding limitations can give institutions an edge. Teaching teams how to use and make sense of dashboards and visualization tools can help them better comprehend data and use it to make more informed decisions. This education is also a great way to enable professional development and upskilling, which can contribute to personal and institutional growth.
3. Invest in Unified Technologies
Technology should not be seen as a panacea, but an enabler of change. With a cloud-based, unified data lakehouse, for example, institutions can maintain secure, centralized storage of all their data. When information is updated through a singular platform, everyone on campus that accesses and uses that data can be sure they’re using the most accurate version.
Similarly, modern data analytics solutions can give staff visual snapshots that reconcile disparate systems into consistent reporting-ready datasets. With reporting-optimized datasets (not raw operational pulls), institutions can reduce the load on transactional systems and improve performance with curated reporting layers.
Visualizing the Impact
Strong data management initiatives, including ensuring the use of accurate, consistent information across campus, can give institutions massive opportunities to improve internal operations as well as engagements with students and other constituents. Faster, easier access to up-to-date, transparent information means leaders spend less time reconciling bad data and more time executing strategic plans. Reduced manual reporting means more efficient and agile teams. Access to shared data means better collaboration across campus.
A data-informed campus empowers institutions to take strategic action based on accurate insights. This type of environment is built on consistency and trust—and it requires a single source of truth reinforced by governance and data literacy.
