Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010341705 | HD38.7 S54 2015 | Open Access Book | Book | Searching... |
On Order
Summary
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 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.
Author Notes
Rick Sherman is the founder of Athena IT Solutions, which provides consulting, training and vendor services for business intelligence, analytics, data integration and data warehousing. He is an adjunct faculty member at Northeastern University's Graduate School of Engineering and is a frequent contributor to industry publications, events, and webinars.
Table of Contents
| Concepts and Context |
| 1 Introduction |
| Business and Technical Needs |
| 2 Justifying BI (Building Business and Technical Case |
| 3 Defining Requirements - Business, Data and Quality |
| Architectural Framework |
| 4 Architecture Introduction |
| 5 Information Architecture |
| 6 Data Architecture |
| 7 Technology and Product Architectures |
| Data Design |
| 8 Foundational Data Modeling |
| 9 Dimensional Modeling |
| 10 Advanced Dimensional Modeling |
| Data Integration Design |
| 11 Data Integration Processes |
| 12 Data Integration Design & Development |
| BI Design |
| 13 BI Applications |
| 14 BI Design & Development |
| 15 Advanced Analytics |
| 16 Data Shadow Systems |
| Organization |
| 17 People, Process and Politics |
| 18 Project Management |
| 19 Centers of Excellence |
