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Modern enterprise business intelligence and data management : a roadmap for IT directors, managers, and architects /
Alan Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. This book takes a fresh look at true enterprise-scale BI/DW in the "Dawn of the Big Data Era"; details a checklist-based ap...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Morgan Kaufmann,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 1 | 0 | |a Modern enterprise business intelligence and data management : |b a roadmap for IT directors, managers, and architects / |c Alan Simon. |
| 264 | 1 | |a Amsterdam : |b Morgan Kaufmann, |c 2014. | |
| 300 | |a 1 online resource | ||
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| 520 | |a Alan Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. This book takes a fresh look at true enterprise-scale BI/DW in the "Dawn of the Big Data Era"; details a checklist-based approach to surveying one's current state and identifying which components are enterprise-ready and which ones are impeding the key objectives of enterprise-scale BI/DW; provides an approach for how to analyze and test-bed emerging technologies and architectures and then figure out how to include the relevant ones in the roadmaps that will be developed; presents a tried-and-true methodology for building a phased, incremental, and iterative enterprise BI/DW roadmap that is closely aligned with an organization's business imperatives, organizational culture, and other considerations. -- |c Edited summary from book | ||
| 504 | |a Includes bibliographical references at the end of each chapters. | ||
| 505 | 0 | |a Cover; Title Page; Copyright Page; Table of contents; Preface; Terminology; Defining "Enterprise"; Defining "Data"; Defining "Enterprise Data Management"; Defining "Business Intelligence"; About the author; Chapter 1 -- The Rebirth of Enterprise Data Management; 1.1 -- In the beginning: how we got to where we are today; 1.1.1 -- 1960s and 1970s; 1.1.2 -- 1980s; 1.1.2.1 -- Enterprise Data Models; 1.1.2.2 -- Distributed Database Management Systems (DDBMSs); 1.1.3 -- 1990s; 1.1.3.1 -- Data Warehousing; 1.1.3.2 -- Read-Only Distributed Data Access; 1.1.4 -- 2000s; 1.1.5 -- Today. | |
| 505 | 8 | |a 1.2 -- A manifesto for modern enterprise data management: what are we trying to accomplish?1.2.1 -- Bringing Order to an Organization's Data, Reporting, and Analytics; 1.2.2 -- Supporting Emerging Technologies and New or Enhanced Applications; 1.2.3 -- Turning "Data is our Lifeblood" and "The Data-Driven Organization" into More than Just Slogans; 1.2.4 -- Aligning Our Approach and Architecture with Our Organizational Structure and Culture; 1.3 -- Chapter summary; Chapter 2 -- Assessing Your Organization's Current State of Enterprise Data Management; 2.1 -- Introduction. | |
| 505 | 8 | |a 2.2 -- A rapid, consensus-driven starting point to current state assessment2.2.1 -- Step 1: Determining the Scope and Scale of the Enterprise; 2.2.2 -- Step 2: Complete a 4-by-4 Assessment Scorecard; 2.2.2.1 -- Complexity Index; 2.2.2.2 -- Quality Index; 2.2.2.3 -- Support Index; 2.2.2.4 -- Tension Index; 2.3 -- Category 1: operational reporting and querying; 2.4 -- Category 2: strategic insights; 2.5 -- Category 3: data architecture; 2.6 -- Category 4: work processes and human/organizational factors; 2.7 -- Building and grading the 4-by-4 scorecard; 2.8 -- Interpreting the meaning of the results. | |
| 505 | 8 | |a 2.9 -- Chapter summaryReferences; Chapter 3 -- Identifying and Cataloguing Key Business Imperatives; 3.1 -- Introduction; 3.2 -- Cross-brand, cross-geography strategic sourcing; 3.3 -- Lean manufacturing; 3.4 -- "Mega-processes"; 3.5 -- Heightened risk mitigation and management; 3.6 -- Enterprise systems initiatives; 3.6.1 -- New ERP Implementation; 3.6.2 -- Enterprise Systems Migration; 3.6.3 -- Enterprise Systems Rationalization and Consolidation; 3.7 -- Enterprise-level business quality initiatives; 3.8 -- Chapter summary; References. | |
| 505 | 8 | |a Chapter 4 -- Surveying Relevant Enterprise Data Management Technologies4.1 -- Introduction; 4.2 -- Databases and data storage; 4.3 -- Database administration and maintenance; 4.4 -- Data virtualization; 4.5 -- Master data management; 4.6 -- Metadata management; 4.7 -- Data quality and profiling; 4.8 -- Data governance; 4.9 -- Data interchange and movement; 4.10 -- Data retrieval, preparation, and delivery (business intelligence, reporting, and analytics); 4.11 -- Other core and enabling technologies; 4.12 -- Staying on top of proliferating technologies; References. | |
| 505 | 8 | |a Chapter 5 -- Building an Enterprise Data Management and Business Intelligence Roadmap. | |
| 650 | 0 | |a Business intelligence. | |
| 650 | 0 | |a Data warehousing. | |
| 650 | 0 | |a Big data. | |
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