Data-driven efficiency in higher education

Universities face pressure to enhance efficiency, improve student experiences, and make data-driven decisions in admissions and enrollment. Integrating and streamlining these workflows requires strong stakeholder alignment, clear objectives, and centralizing accurate, reliable data. Northeastern University's Director of Analytics Engineering, Ilia Xheblati, emphasizes the need for seamless data integration to eliminate inefficiencies, streamline decision-making, and create a more connected student-centric experience. To achieve this, universities must ask the right questions, such as how to centralize data and what problem they are solving. Without a unified source of truth, frustration builds across departments, leading to conflicting numbers and making it difficult to trust data. Fivetran's automated approach helps scale data movement, reducing setup time to minutes, ensuring scalability, and unlocking efficiency for organizations without dedicated data engineering teams. A pragmatic approach involves starting small with early adopters, clearly communicating benefits and aligning expectations across stakeholders, and articulating how tools will make tasks easier, faster, and more reliable.

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