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Implementing a data warehouse at Inglis Innovative Services.

C Breen1, L M Rodrigues

  • 1Inglis Innovative Services.

Journal of Healthcare Information Management : JHIM
|July 17, 2001
PubMed
Summary
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Implementing a corporate data warehouse requires more than technology; it demands data identification, ownership, integrity, and business process analysis for effective decision-making. This case study details a healthcare facility

Area of Science:

  • Health Informatics
  • Data Management
  • Business Intelligence

Background:

  • Data warehousing, data marts, and data mining emerged as key technologies in the 1990s for leveraging corporate data.
  • Successful implementation of these systems is often challenging, extending beyond mere technological investment.
  • Effective data utilization hinges on understanding data context, ownership, and integrity within business processes.

Purpose of the Study:

  • To explore the practical challenges encountered during the implementation of a corporate data warehouse.
  • To present a case study illustrating how a healthcare facility navigated these implementation hurdles.
  • To highlight the critical factors for successful data warehouse deployment in a healthcare setting.

Main Methods:

  • The study employed a case study approach focusing on a single healthcare facility.

Related Experiment Videos

  • Methods involved identifying and cataloging data assets.
  • Analysis included assessing data ownership, integrity, and business process integration.

    • Main Results:

    • Successful data warehouse implementation requires a comprehensive 'data treasure hunt' to identify and catalog information.
    • Establishing clear data ownership and ensuring data integrity are crucial for reliable insights.
    • Business process analysis is essential to understand data context and processing.

    Conclusions:

    • Implementing a corporate data warehouse is a complex process involving data governance and business analysis, not just technology.
    • The quality of decisions derived from a data warehouse is directly linked to the thoroughness of its implementation.
    • This case study provides valuable lessons for healthcare organizations undertaking data warehouse projects.