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Business unIntelligence

Book Description

Business intelligence (BI) used to be so simple - in theory anyway. Integrate and copy data from your transactional systems into a specialized relational database, apply BI reporting and query tools and add business users. Job done.

No longer. Analytics, big data and an array of diverse technologies have changed everything. More importantly, business is insisting on ever more value, ever faster from information and from IT in general. An emerging biz-tech ecosystem demands that business and IT work together.

Business unIntelligence reflects the new reality that in today's socially complex and rapidly changing world, business decisions must be based on a combination of rational and intuitive thinking. Integrating cues from diverse information sources and tacit knowledge, decision makers create unique meaning to innovate heuristically at the speed of thought. This book provides a wealth of new models that business and IT can use together to design support systems for tomorrow's successful organizations.

Dr. Barry Devlin, one of the earliest proponents of data warehousing, goes back to basics to explore how the modern trinity of information, process and people must be reinvented and restructured to deliver the value, insight and innovation required by modern businesses. From here, he develops a series of novel architectural models that provide a new foundation for holistic information use across the entire business. From discovery to analysis and from decision making to action taking, he defines a fully integrated, closed-loop business environment. Covering every aspect of business analytics, big data, collaborative working and more, this book takes over where BI ends to deliver the definitive framework for information use in the coming years.

As the person who defined the conceptual framework and physical architecture for data warehousing in the 1980s, Barry Devlin has been an astute observer of the movement he initiated ever since. Now, in Business unintelligence, Devlin provides a sweeping view of the past, present, and future of business intelligence, while delivering new conceptual and physical models for how to turn information into insights and action. Reading Devlin's prose and vision of BI are comparable to reading Carl Sagan's view of the cosmos. The book is truly illuminating and inspiring.
--Wayne Eckerson, President, BI Leader Consulting
Author, "Secrets of Analytical Leaders: Insights from Information Insiders"

Table of Contents

  1. Preface
  2. CHAPTER 1: A modern trinity
    1. 1.1 Why now? Why Business unIntelligence?
    2. 1.2 What’s it all about, trinity?
    3. 1.3 Pandora’s Box of information
    4. 1.4 Process, process every where
    5. 1.5 There’s nowt so queer as folk
    6. 1.6 Architecting the biz-tech ecosystem
    7. 1.7 Conclusions
  3. CHAPTER 2: The biz-tech ecosystem
    1. 2.1 The birth of the Beast
    2. 2.2 Beauty and the Beast—the biz-tech ecosystem
    3. 2.3 Key features of the biz-tech ecosystem
    4. 2.4 Tyranny of the Beast
    5. 2.5 In practice—all change in the organization
    6. 2.6 Conclusions
  4. CHAPTER 3: Data, information and the hegemony of IT
    1. 3.1 The knowledge pyramid and the ancient serpent of wisdom
    2. 3.2 What is this thing called data?
    3. 3.3 From information to data
    4. 3.4 The modern meaning model—m3
    5. 3.5 Database daemons and delicate data models
    6. 3.6 The importance of being information
    7. 3.7 IDEAL architecture (1): Information, Structure/Context dimension
    8. 3.8 Metadata is two four-letter words
    9. 3.9 In practice—focusing IT on information
    10. 4.0 Conclusions
  5. CHAPTER 4: Fact, fiction or fabrication
    1. 4.1 Questions and answers
    2. 4.2 Where do you come from (my lovely)?
    3. 4.3 It’s my data, and I’ll play if I want to
    4. 4.4 I’m going home…and I’m taking my data with me
    5. 4.5 Information from beyond the Pale
    6. 4.6 Tales of sails and sales
    7. 4.7 A new model for information trust
    8. 4.8 IDEAL architecture (2): Information, Reliance/Usage dimension
    9. 4.9 In practice—(re)building trust in data
    10. 5.0 Conclusions
  6. CHAPTER 5: Data-based decision making
    1. 5.1 Turning the tables on business
    2. 5.2 The data warehouse at the end of the universe
    3. 5.3 Business intelligence—really?
    4. 5.4 Today’s conundrum—consistency or timeliness
    5. 5.5 Most of our assumptions have outlived their uselessness
    6. 5.6 IDEAL architecture (3): Information, Timeliness/Consistency dimension
    7. 5.7 Beyond the data warehouse
    8. 5.8 REAL architecture (1): Core business information
    9. 5.9 In practice—upgrading your data warehouse
    10. 6.0 Conclusions
  7. CHAPTER 6: Death and rebirth in the information explosion
    1. 6.1 Data deluge, information tsunami
    2. 6.2 What is big data and why bother?
    3. 6.3 Internal reality mirrors the external
    4. 6.4 A primer on big data technology
    5. 6.5 Information—the tri-domain logical model
    6. 6.6 REAL architecture (2): Pillars replace layers
    7. 6.7 In practice—bringing big data on board
    8. 6.8 Conclusions
  8. CHAPTER 7: How applications became apps and other process peculiarities
    1. 7.1 Hunter-gatherers, farmers and industrialists
    2. 7.2 From make and sell to sense and respond
    3. 7.3 Process is at the heart of decision making
    4. 7.4 Stability or agility (also known as SOA)
    5. 7.5 Keeping up with the fashionistas
    6. 7.6 IDEAL architecture (4), Process
    7. 7.7 REAL architecture (3), The six process-ations
    8. 7.8 In practice—implementing process flexibility
    9. 7.9 Conclusions
  9. CHAPTER 8: Insightful decision making
    1. 8.1 BI (the first time)
    2. 8.2 Information—some recent history
    3. 8.3 Copyright or copywrong
    4. 8.4 I spy with my little eye something beginning…
    5. 8.5 The care and grooming of content
    6. 8.6 A marriage of convenience
    7. 8.7 Knowledge management is the answer; now, what was the question?
    8. 8.8 Models, ontologies and the Semantic Web
    9. 8.9 In practice—finally moving beyond data
    10. 8.9 Conclusions
  10. CHAPTER 9: Innovation in the human and social realm
    1. 9.1 Meaning—and the stories we tell ourselves
    2. 9.2 Rational decision making, allegedly
    3. 9.3 Insight—engaging the evolved mind
    4. 9.4 Working 9 to 5. . . at the MIS mill
    5. 9.5 Enter prize two dot zero
    6. 9.6 People who need peoplE…
    7. 9.7 IDEAL architecture (5): People
    8. 9.8 In practice—introducing collaborative decision making
    9. 9.9 Conclusions
  11. CHAPTER 10: Business unIntelligence—whither now?
    1. 10.1 IDEAL architecture (6): Summary
    2. 10.2 REAL architecture (4): Implementation
    3. 10.3 Past tense, future perfect
  12. Bibliography