Report

Part 3 of 9, Data Integration: Removing Silos & Operationalizing Your Data

Table of Contents

  1. Summary
  2. Strategy & Business Considerations
  3. Technical Considerations
  4. Technology Evolution & Landscape
    1. Data Integration Subcategories
  5. About Andrew Brust
Part 5 of 11 in a series Removing Silos & Operationalizing Your Data Beginning

Analysis

Strategy & Business Considerations

Organizations that must bring together operational data from in-house line-of-business systems and enterprise applications, such as enterprise resource management and customer relationship management, and integrating them at the right granularity, will need good integration technology to pull it off.

Integration technologies require work and investment but they ensure data is blended in a precise way that ensures a much higher quality of data for downstream analysis. Required skill sets range from good logical thinking and a comfort level authoring visual workflows to hardcore coding skills and an understanding of relational database operations.

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