Business intelligence guidebook from data integration to analytics /
Rick Sherman. :
- 1 online resource (518 pages) : illustrations
Concepts and Context 1 Introduction Business and Technical Needs 2Justifying BI (Building Business and Technical Case 3Defining Requirements - Business, Data and Quality Architectural Framework 4Architecture Introduction 5Information Architecture 6Data Architecture 7Technology and Product Architectures Data Design 8Foundational Data Modeling 9Dimensional Modeling 10Advanced Dimensional Modeling Data Integration Design 11Data Integration Processes 12Data Integration Design and Development BI Design 13BI Applications 14BI Design and Development 15Advanced Analytics 16Data Shadow Systems Organization 17People, Process and Politics 18Project Management 19Centers of Excellence
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 adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget - turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.
9780124115286 (PDF ebook) : 30.99
Management information systems. Business intelligence. Business and Management. Business & Management Database programming Library, archive & information management Knowledge management Information technology: general issues Business applications Enterprise software Databases Operational research