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Multi-System Reporting Practices Across Top Universities: A Comparative Analysis

This report examines multi-system reporting practices at renowned institutions, including Princeton, Harvard, and the University of Michigan. It highlights the unique characteristics of each institution's data management, emphasizing that no two systems are alike. Common practices include bridging data from multiple data warehouses and merging information from various legacy software applications. Additionally, the report addresses how these systems support diverse reporting needs, ranging from executive information systems to operational management, and how reports are distributed through third-party web systems.

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Multi-System Reporting Practices Across Top Universities: A Comparative Analysis

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  1. Multi-System Reporting Examples in Practice

  2. Princeton Univ. of Michigan Harvard Univ. Univ. of Mass Univ. of Akron Univ. of MN Univ. CA Sys. Univ. of WI Sys. Sprint Institutions Reviewed

  3. Commonality • No two Systems/Institutions are alike • All bridge data from multiple DW’s (Rltnl.) • Merge data from multiple software applications (Legacy, PS, Bolt-On) • All support reporting at a wide range of levels (EIS, Mgt., Opnl. etc.) • Distribute Reports via 3d party Web System

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