COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Modern Enterprise Business Intelligence and Data Management - 1st Edition - ISBN: 9780128015391, 9780128017456

Modern Enterprise Business Intelligence and Data Management

1st Edition

A Roadmap for IT Directors, Managers, and Architects

Author: Alan Simon
Paperback ISBN: 9780128015391
eBook ISBN: 9780128017456
Imprint: Morgan Kaufmann
Published Date: 11th September 2014
Page Count: 96
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the "Big Data Era"…and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing "silos of data" problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enterprise-wide "single version of the truth" – or all of the above – IT Directors, strategists, and architects find that they need to go back to the drawing board and produce a brand new BI/data warehousing roadmap to help move their enterprises from their current state to one where the promises of emerging technologies and a generation’s worth of best practices can finally deliver high-impact, architecturally evolvable enterprise-scale business intelligence and data warehousing.

Author Alan Simon, whose BI and data warehousing experience dates back to the late 1970s and who has personally delivered or led more than thirty enterprise-wide BI/data warehousing roadmap engagements since the mid-1990s, details a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale. Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic.

Key Features

  • 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


IT and business-side Directors, Managers, Strategists, Architects, and Senior Developers/Analysts involved with BI and data warehousing; BI and data warehousing consultants

Table of Contents

  • Preface
  • About the Author
  • Chapter 1: The Rebirth of Enterprise Data Management
    • Abstract
    • 1.1. In the beginning: how we got to where we are today
    • 1.2. A manifesto for modern enterprise data management: what are we trying to accomplish?
    • 1.3. Chapter summary
  • Chapter 2: Assessing Your Organization’s Current State of Enterprise Data Management
    • Abstract
    • 2.1. Introduction
    • 2.2. A rapid, consensus-driven starting point to current state assessment
    • 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
    • 2.9. Chapter summary
  • Chapter 3: Identifying and Cataloguing Key Business Imperatives
    • Abstract
    • 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
    • 3.7. Enterprise-level business quality initiatives
    • 3.8. Chapter summary
  • Chapter 4: Surveying Relevant Enterprise Data Management Technologies
    • Abstract
    • 4.1. 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
  • Chapter 5: Building an Enterprise Data Management and Business Intelligence Roadmap
    • Abstract
    • 5.1. Introduction
    • 5.2. Before proceeding: prerequisites for a successful enterprise data management roadmap effort
    • 5.3. The EDM roadmap engagement
    • 5.4. Address urgent current state issues
    • 5.5. Define the initial version of the EDM future state
    • 5.6. Conduct the Stakeholders’ Summit
    • 5.7. Adjust the EDM future state as necessary
    • 5.8. Build the phased roadmap
    • 5.9. Execute the roadmap
  • Chapter 6: The End Game
    • Abstract
    • 6.1. Introduction
    • 6.2. Achieving lasting buy-in
    • 6.3. Architectural tune-ups
    • 6.4. Dealing with disruptive seismic events
    • 6.5. Managing vendor relationships
    • 6.6. Eternal vigilance
  • Appendix: Further Resources and References


No. of pages:
© Morgan Kaufmann 2014
11th September 2014
Morgan Kaufmann
Paperback ISBN:
eBook ISBN:

About the Author

Alan Simon

Alan Simon is a Senior Lecturer in the Information Systems Department at Arizona State University's WP Carey School of Business. He is also the Managing Principal of Thinking Helmet, Inc., a boutique consultancy specializing in enterprise business intelligence and data management architecture. Alan has authored or co-authored 29 technology and business books dating back to 1985. He has previously led national or global BI and data warehousing practices at several consultancies, and has provided enterprise data management architecture and roadmap services to more than 40 clients dating back to the early 1990s.

From 1987-1992 Alan was a software developer and product manager with Digital Equipment Corporation's Database Systems Group, and earlier he was a United States Air Force Computer Systems Officer stationed at Cheyenne Mountain, Colorado.

Alan received his Bachelor's Degree from Arizona State University and his Master's Degree from the University of Arizona, and is a native of Pittsburgh.

Affiliations and Expertise

Senior Lecturer, Arizona State University, Tempe, Arizona

Ratings and Reviews