Using Open Source Platforms for Business Intelligence book cover

Using Open Source Platforms for Business Intelligence

Avoid Pitfalls and Maximize ROI

Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments.

Audience

Business Analysts, Program Managers, Project Managers, IT Managers, CFO/CTOs

Paperback, 232 Pages

Published: September 2012

Imprint: Morgan Kaufmann

ISBN: 978-0-12-415811-5

Reviews

  • "Finally, a book focused entirely on Open Source BI (OSBI).  Lyndsay has done a great job tackling this complex subject and making it digestible by both business and IT.  She discusses the benefits and challenges to choosing OSBI compared to traditional enterprise BI software, in a fair and unbiased approach.   It’s worth reading for all those considering OSBI for all, or part of their BI architecture."

    -Steve Dine, Datasource Consulting, LLC


Contents

  • 1. The differences between general OS and commercial open source
    2. Commercial open source options
    3. Implications for users
    4. The business benefits and challenges of OS for BI
    5. Selling a BI OS project to the business
    6. Evaluating ROI and TCO
    7. Developing a cost benefit analytics
    8. Complementary solutions - OS DI, databases, etc.
    9. Technical considerations
    10. Integration and data preparation
    11. Working within an OS environment
    12. Development steps and considerations
    13. Required skill sets
    14. Challenges
    15. Technical benefits

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