Analyst Report: Part 6 of 9, Business Intelligence (BI): Removing Silos & Operationalizing Your Data

On Big Data

This is part 6 of a 9-part report, access all other parts here:

Part 1 – Data Connectors
Part 2 – Virtualized Data Layers
Part 3 – Data Integration
Part 4 – In-Memory Database/Grid Platforms
Part 5 – Data Warehouse Platforms
Part 7 – Business Intelligence on Big Data/Data
Part 8 РBig Data/Data Lake Platforms 
Part 9 –¬†Data Management and Governance

Strategy & Business Considerations

Companies that have been serious about making analytics a credo in their organization have long been proponents of BI. While it may seem a little old fashioned today, BI is often the best solution where data volumes are on the small to medium size. For organizations that are aggregating large volumes of data, new technologies exist that can make BI tools work with it. And, ultimately, even big data processing will result in smaller, summarized data sets that are most ably explored and visualized with BI.

Table of Contents

  1. Summary
  2. Strategy & Business Considerations
  3. Technical Considerations
  4. Technology Evolution & Landscape
  5. Key Players
  6. About Andrew Brust
  7. About GigaOm

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