Higher Education Data Analytics
Accelerating a Culture of Data Governance & Data-Informed Decisions
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Build a Contemporary Infrastructure
New York Tech faced many challenges: data leakage, siloed data sets, too many reporting tools and destinations. These challenges caused uncertainty and confusion around the data, making it difficult for users to feel confident in the data or their decisions. Partnering with HelioCampus helped them bring together various data sources within a robust, centralized, and transparent platform. This allowed them to quickly set up data models and validate the data user's needed most — turning what could have been a years long implementation into a process that only took months.
Foster Trust in the Data Across Campus
The technical implementation of a new and improved data platform was only half the battle. The New York Tech team also needed to ensure they had the proper stewardship processes and structures in place to support users. To do this, they developed a charter for data governance that outlined policies, procedures, security, compliance, architecture, and more. In addition, they created a data fluency course to ensure that users know how to use the HelioCampus platform and a data dictionary to establish a common language around data across the institution.
Mature Data Processes Over Time
The New York Tech team knew that the success of their data governance initiative, and their institution's ultimate ability to answer critical questions about financial aid and recruitment, would be contingent on its' maturation over time. Following Data Management Association International's data maturity check-in rubric, they continuously evaluate their data processes, the effectiveness of their implementation, and ensure they stay one step ahead of any potential challenges down the road. As Becky Frieden puts it: "Data governance is not a project. It doesn't end."
Learn More About the Result
Read the case study to learn more about why New York Tech identified HelioCampus as the right vendor to partner with in order to create a modern data infrastructure and reach their institutional goals.
