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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010302532 | HD38.7 L678 2013 | Open Access Book | Book | Searching... |
Searching... | 30000010243219 | HD38.7 L678 2013 | Open Access Book | Book | Searching... |
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Summary
Summary
Business Intelligence: The Savvy Managers Guide, Second Edition , discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge.
Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered.
This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts.
Author Notes
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
Table of Contents
1 Business Intelligence - An Introduction |
2 Value Drivers |
3 Planning for Success |
4 Developing a Business Intelligence Roadmap |
5 The Business Intelligence Environment |
6 Business Models and Information Flow |
7 Data Requirements Analysis |
8 Data Warehouses and the Technical BI Architecture |
9 Business Metadata |
10 Data Profiling |
11 Business Rules |
12 Data Quality |
13 Data Integration |
14 High Performance BI |
15 Alternate Information Contexts |
16 Location Intelligence and Spatial analysis? |
17 Knowledge Discovery, Data Mining, and Analytics |
18 Using Publicly Available Data |
19 Knowledge Delivery |
20 New and Emerging Techniques |
21 Quick Reference |