Business intelligence guidebook : (Record no. 10099)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05429cam a2200205 i 4500 |
| 005 - DATE & TIME | |
| control field | 20230814134930.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 141006s2015 ne b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2014031205 |
| 020 ## - ISBN | |
| International Standard Book Number | 9780124114616 |
| Price | 4692.73 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | S.X.U.K |
| 041 ## - Language | |
| Language | English |
| 082 00 - DDC NUMBER | |
| Classification number | R 658.472 SHE(BUS) |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sherman, Rick. |
| 245 10 - TITLE STATEMENT | |
| Title | Business intelligence guidebook : |
| Sub Title | from data integration to analytics / |
| Statement of responsibility | Rick Sherman. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Wyman Street |
| -- | Walthaman |
| Name of publisher, distributor, etc | Morgan Kaufmann |
| -- | Elsevier |
| Date of publication, distribution, etc | c2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | xxiii, 525 pages ; |
| Dimension | 24 cm |
| Other Details | P.B. |
| 500 ## - GENERAL NOTE | |
| General note | Table of contents<br/>Foreword<br/>How to Use This Book<br/>Acknowledgments<br/>Part I. Concepts and Context<br/>Chapter 1. The Business Demand for Data, Information, and Analytics<br/>Just One Word: Data<br/>Welcome to the Data Deluge<br/>Taming the Analytics Deluge<br/>Too Much Data, Too Little Information<br/>Data Capture versus Information Analysis<br/>The Five Cs of Data<br/>Common Terminology from our Perspective<br/>Part II. Business and Technical Needs<br/>Chapter 2. Justifying BI: Building the Business and Technical Case<br/>Why Justification is Needed<br/>Building the Business Case<br/>Building the Technical Case<br/>Assessing Readiness<br/>Creating a BI Road Map<br/>Developing Scope, Preliminary Plan, and Budget<br/>Obtaining Approval<br/>Common Justification Pitfalls<br/>Chapter 3. Defining Requirements—Business, Data and Quality<br/>The Purpose of Defining Requirements<br/>Goals<br/>Deliverables<br/>Roles<br/>Defining Requirements Workflow<br/>Interviewing<br/>Documenting Requirements<br/>Part III. Architectural Framework<br/>Chapter 4. Architecture Framework<br/>The Need for Architectural Blueprints<br/>Architectural Framework<br/>Information Architecture<br/>Data Architecture<br/>Technical Architecture<br/>Product Architecture<br/>Metadata<br/>Security and Privacy<br/>Avoiding Accidents with Architectural Planning<br/>Do Not Obsess over the Architecture<br/>Chapter 5. Information Architecture<br/>The Purpose of an Information Architecture<br/>Data Integration Framework<br/>DIF Information Architecture<br/>Operational BI versus Analytical BI<br/>Master Data Management<br/>Chapter 6. Data Architecture<br/>The Purpose of a Data Architecture<br/>History<br/>Data Architectural Choices<br/>Data Integration Workflow<br/>Data Workflow—Rise of EDW Again<br/>Operational Data Store<br/>Chapter 7. Technology & Product Architectures<br/>Where are the Product and Vendor Names?<br/>Evolution Not Revolution<br/>Technology Architecture<br/>Product and Technology Evaluations<br/>Part IV. Data Design<br/>Chapter 8. Foundational Data Modeling<br/>The Purpose of Data Modeling<br/>Definitions—The Difference Between a Data Model and Data Modeling<br/>Three Levels of Data Models<br/>Data Modeling Workflow<br/>Where Data Models Are Used<br/>Entity-Relationship (ER) Modeling Overview<br/>Normalization<br/>Limits and Purpose of Normalization<br/>Chapter 9. Dimensional Modeling<br/>Introduction to Dimensional Modeling<br/>High-Level View of a Dimensional Model<br/>Facts<br/>Dimensions<br/>Schemas<br/>Entity Relationship versus Dimensional Modeling<br/>Purpose of Dimensional Modeling<br/>Fact Tables<br/>Achieving Consistency<br/>Advanced Dimensions and Facts<br/>Dimensional Modeling Recap<br/>Chapter 10. Business Intelligence Dimensional Modeling<br/>Introduction<br/>Hierarchies<br/>Outrigger Tables<br/>Slowly Changing Dimensions<br/>Causal Dimension<br/>Multivalued Dimensions<br/>Junk Dimensions<br/>Value Band Reporting<br/>Heterogeneous Products<br/>Alternate Dimensions<br/>Too Few or Too Many Dimensions<br/>Part V. Data Integration Design<br/>Chapter 11. Data Integration Design and Development<br/>Getting Started with Data Integration<br/>Data Integration Architecture<br/>Data Integration Requirements<br/>Data Integration Design<br/>Data Integration Standards<br/>Loading Historical Data<br/>Data Integration Prototyping<br/>Data Integration Testing<br/>Chapter 12. Data Integration Processes<br/>Introduction: Manual Coding versus Tool-Based Data Integration<br/>Data Integration Services<br/>Part VI. Business Intelligence Design<br/>Chapter 13. Business Intelligence Applications<br/>BI Content Specifications<br/>Revise BI Applications List<br/>BI Personas<br/>BI Design Layout—Best Practices<br/>Data Design for Self-Service BI<br/>Matching Types of Analysis to Visualizations<br/>Chapter 14. BI Design and Development<br/>BI Design<br/>BI Development<br/>BI Application Testing<br/>Chapter 15. Advanced Analytics<br/>Advanced Analytics Overview and Background<br/>Predictive Analytics and Data Mining<br/>Analytical Sandboxes and Hubs<br/>Big Data Analytics<br/>Data Visualization<br/>Chapter 16. Data Shadow Systems<br/>The Data Shadow Problem<br/>Are There Data Shadow Systems in Your Organization?<br/>What Kind of Data Shadow Systems Do You Have?<br/>Data Shadow System Triage<br/>The Evolution of Data Shadow Systems in an Organization<br/>Damages Caused by Data Shadow Systems<br/>The Benefits of Data Shadow Systems<br/>Moving beyond Data Shadow Systems<br/>Misguided Attempts to Replace Data Shadow Systems<br/>Renovating Data Shadow Systems<br/>Part VII. Organization<br/>Chapter 17. People, Process and Politics<br/>The Technology Trap<br/>The Business and IT Relationship<br/>Roles and Responsibilities<br/>Building the BI Team<br/>Training<br/>Data Governance<br/>Chapter 18. Project Management<br/>The Role of Project Management<br/>Establishing a BI Program<br/>BI Assessment<br/>Work Breakdown Structure<br/>BI Architectural Plan<br/>BI Projects Are Different<br/>Project Methodologies<br/>BI Project Phases<br/>BI Project Schedule<br/>Chapter 19. Centers of Excellence<br/>The Purpose of Centers of Excellence<br/>BI COE<br/>Data Integration Center of Excellence<br/>Enabling a Data-Driven Enterprise<br/>Index |
| 650 #0 - Subject | |
| Subject | Business intelligence. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | REFERENCE COMPUTER SCIENCE |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Koha collection | Location (home branch) | Sublocation or collection (holding branch) | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Serial Enumeration / chronology | Koha issues (times borrowed) | Koha full call number | Barcode (Accession No.) | Koha date last seen | Copy Number | Price effective from | Koha item type | Koha date last borrowed |
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| Dewey Decimal Classification | Not For Loan | Reference | St. Xavier's University, Kolkata | St. Xavier's University, Kolkata | Reference Section | 08/14/2023 | BHARAT BOOKS | 4692.73 | S.X.U.K | R 658.472 SHE(BUS) | UCS10046 | 08/14/2023 | 10046 | 08/14/2023 | REFERENCE COMPUTER SCIENCE | |||||
| Dewey Decimal Classification | St. Xavier's University, Kolkata | St. Xavier's University, Kolkata | Lending Section | 10/09/2023 | Bharat Book Distributors | 4731.19 | S.X.U.K | 1 | 658.472 SHE(BUS) | CS10411 | 08/21/2024 | 10411 | 10/09/2023 | COMPUTER SCIENCE | 07/25/2024 |