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Book synopsis

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

Book details

Book category Books in English Economics, finance, business & management Business & management Management & management techniques

• Full title: Using Open Source Platforms for Business Intelligence
• Author: Lyndsay Wise
• Language: English
• Binding: Paperback
• Number of pages: 232
• EAN: 9780124158115
• ISBN: 0124158110
• ID: 01242032
• Publisher: MORGAN KAUFMANN
• Weight: 486 g
• Dimensions: 234 × 193 × 19 mm
• Date of publishing: 25. October 2012

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