/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Business%20intelligence%22&sort_by=relevance&format=rss 9 0 50 ISBN:9781583473627 /cgi-bin/koha/opac-detail.pl?biblionumber=5611 ]]> By Boyer, John.; Frank, Bill.; Green, Brain.; Harris, Tracy.; Vanter, Kay Van De..
USA MC Press 2011 .
xvi, 115p. 9781583473627

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=5611 ISBN:9789382609131 /cgi-bin/koha/opac-detail.pl?biblionumber=6466 ]]> By Jai, V.K. .
New Delhi Khanna Book 2017 .
xv, 638 9789382609131

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=6466 ISBN:9780134633282 /cgi-bin/koha/opac-detail.pl?biblionumber=7412 ]]> By Sharda, Ramesh .
USA Pearson 2018 .
xxvi, 486 , Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 3 Chapter 2 Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization 53 Chapter 3 Descriptive Analytics II: Business Intelligence and Data Warehousing 127 Chapter 4 Predictive Analytics I: Data Mining Process, Methods, and Algorithms 189 Chapter 5 Predictive Analytics II: Text, Web, and Social Media Analytics 247 Chapter 6 Prescriptive Analytics: Optimization and Simulation 319 Chapter 7 Big Data Concepts and Tools 369 Chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics 417 9780134633282

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=7412 ISBN:9780124114616 /cgi-bin/koha/opac-detail.pl?biblionumber=10099 ]]> By Sherman, Rick..
Wyman Street | Walthaman Morgan Kaufmann | Elsevier 2015 .
xxiii, 525 pages ; , Table of contents Foreword How to Use This Book Acknowledgments Part I. Concepts and Context Chapter 1. The Business Demand for Data, Information, and Analytics Just One Word: Data Welcome to the Data Deluge Taming the Analytics Deluge Too Much Data, Too Little Information Data Capture versus Information Analysis The Five Cs of Data Common Terminology from our Perspective Part II. Business and Technical Needs Chapter 2. Justifying BI: Building the Business and Technical Case Why Justification is Needed Building the Business Case Building the Technical Case Assessing Readiness Creating a BI Road Map Developing Scope, Preliminary Plan, and Budget Obtaining Approval Common Justification Pitfalls Chapter 3. Defining Requirements—Business, Data and Quality The Purpose of Defining Requirements Goals Deliverables Roles Defining Requirements Workflow Interviewing Documenting Requirements Part III. Architectural Framework Chapter 4. Architecture Framework The Need for Architectural Blueprints Architectural Framework Information Architecture Data Architecture Technical Architecture Product Architecture Metadata Security and Privacy Avoiding Accidents with Architectural Planning Do Not Obsess over the Architecture Chapter 5. Information Architecture The Purpose of an Information Architecture Data Integration Framework DIF Information Architecture Operational BI versus Analytical BI Master Data Management Chapter 6. Data Architecture The Purpose of a Data Architecture History Data Architectural Choices Data Integration Workflow Data Workflow—Rise of EDW Again Operational Data Store Chapter 7. Technology & Product Architectures Where are the Product and Vendor Names? Evolution Not Revolution Technology Architecture Product and Technology Evaluations Part IV. Data Design Chapter 8. Foundational Data Modeling The Purpose of Data Modeling Definitions—The Difference Between a Data Model and Data Modeling Three Levels of Data Models Data Modeling Workflow Where Data Models Are Used Entity-Relationship (ER) Modeling Overview Normalization Limits and Purpose of Normalization Chapter 9. Dimensional Modeling Introduction to Dimensional Modeling High-Level View of a Dimensional Model Facts Dimensions Schemas Entity Relationship versus Dimensional Modeling Purpose of Dimensional Modeling Fact Tables Achieving Consistency Advanced Dimensions and Facts Dimensional Modeling Recap Chapter 10. Business Intelligence Dimensional Modeling Introduction Hierarchies Outrigger Tables Slowly Changing Dimensions Causal Dimension Multivalued Dimensions Junk Dimensions Value Band Reporting Heterogeneous Products Alternate Dimensions Too Few or Too Many Dimensions Part V. Data Integration Design Chapter 11. Data Integration Design and Development Getting Started with Data Integration Data Integration Architecture Data Integration Requirements Data Integration Design Data Integration Standards Loading Historical Data Data Integration Prototyping Data Integration Testing Chapter 12. Data Integration Processes Introduction: Manual Coding versus Tool-Based Data Integration Data Integration Services Part VI. Business Intelligence Design Chapter 13. Business Intelligence Applications BI Content Specifications Revise BI Applications List BI Personas BI Design Layout—Best Practices Data Design for Self-Service BI Matching Types of Analysis to Visualizations Chapter 14. BI Design and Development BI Design BI Development BI Application Testing Chapter 15. Advanced Analytics Advanced Analytics Overview and Background Predictive Analytics and Data Mining Analytical Sandboxes and Hubs Big Data Analytics Data Visualization Chapter 16. Data Shadow Systems The Data Shadow Problem Are There Data Shadow Systems in Your Organization? What Kind of Data Shadow Systems Do You Have? Data Shadow System Triage The Evolution of Data Shadow Systems in an Organization Damages Caused by Data Shadow Systems The Benefits of Data Shadow Systems Moving beyond Data Shadow Systems Misguided Attempts to Replace Data Shadow Systems Renovating Data Shadow Systems Part VII. Organization Chapter 17. People, Process and Politics The Technology Trap The Business and IT Relationship Roles and Responsibilities Building the BI Team Training Data Governance Chapter 18. Project Management The Role of Project Management Establishing a BI Program BI Assessment Work Breakdown Structure BI Architectural Plan BI Projects Are Different Project Methodologies BI Project Phases BI Project Schedule Chapter 19. Centers of Excellence The Purpose of Centers of Excellence BI COE Data Integration Center of Excellence Enabling a Data-Driven Enterprise Index 24 cm.
9780124114616

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=10099 ISBN:9780470127230 /cgi-bin/koha/opac-detail.pl?biblionumber=10161 ]]> By Scheps, Swain.
New Jersey John Wiley 2008 .
358p. , TABLE OF CONTENTS Introduction. Part I: Introduction and Basics. Chapter 1: Understanding Business Intelligence. Chapter 2: Fitting BI with Other Technology Disciplines. Chapter 3: Meeting the BI Challenge. Part II: Business Intelligence User Models. Chapter 4: Basic Reporting and Querying. Chapter 5: OLAP: Online Analytical Processing. Chapter 6: Dashboards and Briefing Books. Chapter 7: Advanced / Emerging BI Technologies. Part III: The BI Lifecycle. Chapter 8: The BI Big Picture. Chapter 9: Human Factors in BI Implementations. Chapter 10: Taking a Closer Look at BI Strategy. Chapter 11: Building a Solid BI Architecture and Roadmap. Part IV: Implementing BI. Chapter 12: Building the BI Project Plan. Chapter 13: Collecting User Requirements. Chapter 14: BI Design and Development. Chapter 15: The Day After: Maintenance and Enhancement. Part V: BI and Technology. Chapter 16: BI Target Databases: Data Warehouses, Marts, and Stores. Chapter 17: BI Products and Vendors. Part VI: The Part of Tens. Chapter 18: Ten Keys to BI Success. Chapter 19: Ten BI Risks (and How to Overcome Them). Chapter 20: Ten Keys to Gathering Good BI Requirements. Chapter 21: Ten Secrets to a Successful BI Deployment. Chapter 22: Ten Secrets to a Healthy BI Environment. Chapter 23: Ten Signs That Your BI Environment Is at Risk. Index. 9780470127230

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=10161 ISBN:9789353067021 /cgi-bin/koha/opac-detail.pl?biblionumber=11261 ]]> Chennai Pearson 2019 .
512p. , includes index 9789353067021

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=11261 ISBN:9789353067021 /cgi-bin/koha/opac-detail.pl?biblionumber=12229 ]]> Chennai Pearson 2019 .
512p. , includes index 9789353067021

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=12229 ISBN:9789352866489 /cgi-bin/koha/opac-detail.pl?biblionumber=12621 ]]> Noida Pearson 2018 .
686 , Includes glossary & index 9789352866489

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]]> /cgi-bin/koha/opac-detail.pl?biblionumber=12621 ISBN:9788196512903 /cgi-bin/koha/opac-detail.pl?biblionumber=14331 ]]> By Biswas, Supriya.
Kolkata Aryan 2024 .
352p. , includes index 9788196512903

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