Collaborating Across the Data Lifecycle
Clarifying Roles and Responsibilities of the IT and IR Groups on Campus
Building trust in campus data means focusing on improving data quality and data availability for users across campus. For most institutions, that means engaging two unique groups: the IT organization and the IR organization.
Historically, both teams have been strained and underresourced, and their contributions to campus strategy have often been underappreciated. But alongside growing interest in data analytics, the importance of enabling data management has grown in lockstep— whether campus leadership recognizes the need or not.
As institutions look to build their data capabilities, it’s likely key aspects of the data lifecycle are managed and sustained across these two groups. In some instances, data and analytics turf wars have emerged, sometimes leading to redundancies and overinvestments through duplication of effort. In others, the shared mandate leaves gaps in delivery, as each unit leaves its counterpart to pick up the slack.
Moving forward with a sustainable data strategy demands collaboration between IT and IR. This diagnostic facilitates that collaboration by laying out the data lifecycle, enabling your teams to map out responsibilities and build a foundation of shared understanding around opportunities for change.
How to use this diagnostic
Campus leaders can use this diagnostic to prioritize areas of focus for their data strategy work. On the next two pages, you’ll find a list of activities at each stage of the data lifecycle (data creation, data aggregation, and data use). For each activity, you will be asked which team or teams on campus are responsible.
Based on your responses, this diagnostic will help you determine where data teams at your institution can better collaborate, eliminate duplicative work, or invest more time to achieve better data management and support data-informed decisions at your institution.
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