| Book Description | 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. |
| Editorial Review | "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 |
| About the Author | Lyndsay Wise is the President and Founder of WiseAnalytics, an independent analyst firm and consultancy specializing in business intelligence for small and mid-sized organizations. For more than ten years, she has assisted clients in business systems analysis, software selection, and implementation of enterprise applications. Lyndsay conducts regular research studies, consults, writes articles and speaks about how to implement a successful BI approach and improving the value of business intelligence within organizations. |
| Publication Date | 01 Nov 2012 |
| Number of Pages | 232 |
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