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Business intelligence guidebook: from data integration to analytics

By: Sherman, Rick.
Material type: materialTypeLabelBookPublisher: Amsterdam Morgan Kaufmann, Elsevier 2015Description: xxiii, 525 p.ISBN: 9780124114616.Subject(s): Business intelligenceDDC classification: 658.472 Summary: Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly understood layer of architecture, design, and process. Without this knowledge, Big Data is belittled - projects flounder, are late, and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable, and essential for delivering vital Big Data into the hands of business decision-makers. After reading this book, you will be able to design the overall architecture for functioning data warehousing, business intelligence, and data-integration systems. You will have the information you need to plan, budget, and manage a successful business intelligence program through its entire lifecycle, and build and implement data integration and BI systems that are cost-effective, on-time, and increase the business ROI of Big Data. Finally, you all give your career a boost by demonstrating essential knowledge that puts corporate BI projects on a fast-track to success.(http://www.elsevier.com/books/business-intelligence-guidebook/sherman/978-0-12-411461-6)
List(s) this item appears in: Big data | VR_Data Analytics, Data Visualization and Big Data
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Books Vikram Sarabhai Library
Slot 2093 (2 Floor, East Wing) Non-fiction 658.472 S4B8 (Browse shelf) Available 188575

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly understood layer of architecture, design, and process. Without this knowledge, Big Data is belittled - projects flounder, are late, and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable, and essential for delivering vital Big Data into the hands of business decision-makers.
After reading this book, you will be able to design the overall architecture for functioning data warehousing, business intelligence, and data-integration systems. You will have the information you need to plan, budget, and manage a successful business intelligence program through its entire lifecycle, and build and implement data integration and BI systems that are cost-effective, on-time, and increase the business ROI of Big Data. Finally, you all give your career a boost by demonstrating essential knowledge that puts corporate BI projects on a fast-track to success.(http://www.elsevier.com/books/business-intelligence-guidebook/sherman/978-0-12-411461-6)

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