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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.
- The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite
- A practical, step-by-step guide to implementing OS BI solutions that maximize ROI
- Comprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability
- Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch
- Sales Rank: #1760044 in eBooks
- Published on: 2012-11-23
- Released on: 2012-11-23
- Format: Kindle eBook
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
From the Back Cover
Learn how to implement Open Source BI solutions and increase ROI with this practical guide to the OS BI market
USING OPEN SOURCE PLATFORMS FOR BUSINESS INTELLIGENCE
Lyndsay Wise
Endorsement TK
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.
Features • The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite • A practical, step-by-step guide to implementing OS BI solutions that maximize ROI • Comprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability • Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch
About the Author Lyndsay Wise, President and Founder of WiseAnalytics
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.
Most helpful customer reviews
4 of 4 people found the following review helpful.
OSBI Needs to Solve Business Problems
By Julie B. Hunt
For many years open source software (OSS) was touted as a `free' option for software solutions. Time and experience have revealed many of the "hidden" costs for OSS implementations. The community approach to the OSS code base has been successful for many vendors. However, things change when OSS vendors seek to make money from the software. Most vendors have added non-community "enterprise" versions of the software that are little different from typical on-premises licensed versions.
Lyndsay Wise does an excellent job of dissecting what kind of tech resource commitment it takes to travel the path of OSS for Business Intelligence (OSBI) solutions. Lyndsay rigorously considers why an organization might consider OSBI, with thorough substantiation of her thinking. She draws on her many years of advising organizations of all sizes on the selection of BI solutions to provide a fair and honest survey of the challenges, drawbacks and benefits of OSBI (Chapter 7 is particularly strong in this area).
Lyndsay makes clear what the overall costs are for OSBI and that many times it is not a free option for organizations. In fact OSS may not be a good choice for most small businesses, and frequently may not be suitable for many mid-sized companies -- due to the on-going IT resources that implementations and maintenance can consume. Lyndsay brings to light in great detail the realities of considering OSS for BI needs and how to delineate all of the costs, both hard and soft. The bottomline may well be that OSBI is still preferable to traditional BI solutions - Lyndsay provides the guidance to find out if that is the case.
To help an organization understand if OSS is a good fit, Lyndsay has created excellent tools through items like "readiness checklists" (such as Chapter 18), as well as frequent assessment lists at the end of many chapters. She continuously asks all the right questions. Most of the assessments are focused on technology and the in-house IT team. OSS is tech-intensive - quite frankly there is less value from the business perspective for OSS in and of itself. For the business side of the story, the value comes from solving business problems, ease-of-use, excellent performance, reasonable cost - just as it would for any kind of BI solution.
3 of 3 people found the following review helpful.
200 pages of BS
By Roman S
The author is great at talking about all things except actually saying which OS BI tools are out there and how exactly they compare to each other. If you want somebody to tell you on 200 pages that maintaining OS BI system would require internal time and resources, go ahead. The biggest technical advice is that you might need IT person who knows Java. There is no single practical tip about which vendor to select and why.
2 of 2 people found the following review helpful.
Not bad as a premise for using open source, but no real info on how to do so
By Timothy A. Grove
I found this book disappointing. I was hoping to have more than a casual reference to open source products, and that was not the case. The ones mentioned were commercial open source, and were only mentioned in an early chapter. I found more useful information on what open source BI products were out there and how to use them from Wikipoedia.
The same theme seemed to be repeated in each chapter, and it felt like a college student trying to fulfill a page quota by saying the same thing more verbosely, rather than presenting new information.
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