The Sentient Enterprise
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Оглавление
Ratzesberger Oliver. The Sentient Enterprise
Foreword to The Sentient Enterprise
Introduction
ANALYTIC AWAKENING AT THE SCALE OF BUSINESS
COLLABORATION WITHOUT CHAOS
AN EVOLUTIONARY JOURNEY (THAT’S ALREADY BEGUN!)
A FRAMEWORK FOR AGILITY
CHAPTER 1. Reimagining the Enterprise
DISRUPTION AND DECISION MAKING
SELF-DISRUPTION AT CISCO: ON PURPOSE AND AT SCALE
SELF-DISRUPT IN SUSTAINABLE WAYS
ANALYTIC PAIN POINTS AND A SELF-SERVICE REVOLUTION
ACCESS AND CONTROL
A NECESSARY EVOLUTION
PUTTING IT ALL TOGETHER
CHAPTER 2. Leveraging an Expanding Universe of Data
A UNIVERSE OF DATA: EXPANDING EXPONENTIALLY WITH NEW SOURCES
GAME-CHANGING CAPABILITIES
WELL-INTENTIONED ANARCHY
DATA MARTS AND THEIR DISCONTENTS
A SOLUTION? “LINKEDIN FOR ANALYTICS”
GETTING BACK TO EBAY: FULFILLING THE ANALYTICS MANDATE
CHAPTER 3. The Agile Data Platform
RETAINING AGILITY AT SCALE
RETHINKING WATERFALL METHODOLOGIES
AGILE ANALYTICS
SPREADING AGILITY COMPANY-WIDE WITH THE VIRTUAL DATA MART
A VIRTUAL DATA MART (BY ANY OTHER NAME) IN ACTION
TIME BOXING
FEWER REQUIREMENTS, MORE PROTOTYPES
ANALYTICS ON ANALYTICS
MAKING IT REAL WITH THE LAYERED DATA ARCHITECTURE
DRIVING CHANGE IN THE AUTO INDUSTRY
REMEMBERING THE BIG PICTURE
CHAPTER 4. The Behavioral Data Platform
PERSONALIZED – IF NOT PERSONAL – INTERACTION
NEW MEASURES FOR SUCCESS, BUILT ON BEHAVIORAL DATA
LEVERAGING BEHAVIORAL DATA FOR REAL-WORLD BUSINESS CHALLENGES
BEHAVIORAL DATA IS EVERYWHERE
AGILE SYSTEMS FOR BEHAVIORAL DATA
BACK INSIDE THE LAYERED DATA ARCHITECTURE
REAPING VALUE AND INSIGHT
PROACTIVE DATA STANDARDS AND DESIGNING FOR THE UNKNOWN
CHAPTER 5. The Collaborative Ideation Platform
AVOIDING “ANTI-SOCIAL” ANALYTICS
THE PROBLEM OF METADATA AT SCALE
COLLABORATION AND CONTEXT AT SCALE
MERCHANDISING ANALYTIC INSIGHTS
STAYING ON THE PATH TO VALUE THROUGH ANALYTICS ON ANALYTICS
ADOPTION TAKES TIME
OPERATIONALIZING INSIGHTS
CHAPTER 6. The Analytical Application Platform
TURNING ANALYTIC INSIGHT INTO ACTION ACROSS THE ORGANIZATION
LESSONS FROM THE CLOUD
CREATING AN APP ECONOMY FOR THE ENTERPRISE
DEVOPS TO MAKE IT REAL
LESS ETL
.. MORE “DATA LISTENING”
SETUP FOR SENTIENCE
CHAPTER 7. The Autonomous Decisioning Platform
FAST-CHANGING CAPABILITIES
SELF-DRIVING CARS.. AND COMPANIES
“SYSTEM OF SYSTEMS” BUILDING BLOCKS FOR SENTIENCE
ALGORITHMS: A MUST-HAVE FOR AUTONOMOUS DECISIONING
STRATEGICALLY APPLYING ALGORITHMIC INTELLIGENCE IN THE ENTERPRISE
ALGORITHMIC “MAGIC”
ANALYTICS ON ALGORITHMS TO IMPROVE DECISION MAKING
COMBINING ALGORITHMS ON THE HOME STRETCH TO SENTIENCE
AGILITY AS THE ULTIMATE LITMUS TEST
CHAPTER 8. Implementing Your Course to Sentience
ASK THE RIGHT QUESTIONS, WARTS AND ALL
AGILE STRATEGIC PLANNING IS NOT AN OXYMORON
ADOPT A START-UP MIND-SET AND DON’T BOIL THE OCEAN
PICK THE RIGHT INTERNAL PARTNERS TO DEMONSTRATE VALUE
EMBRACE AGILE PROJECT MANAGEMENT STRATEGIES
EMBRACE CONCURRENCY, ENSURE SCALABILITY
DESIGN IN GOVERNANCE THAT’S SEAMLESS AND REPEATABLE
OPTIMIZE A WORKFORCE TO ACT FAST, FAIL FAST, AND SCALE FAST
“IT’S THE CULTURE, STUPID”
Conclusion
THE ERGONOMICS OF DATA: REDEFINING HUMAN–DATA INTERACTION
SOCIETY-WIDE SYSTEM OF SYSTEMS ADOPTION
THE GREATER GOOD
LOOKING TO THE FUTURE
A FINAL WORD
Acknowledgments
About the Authors
Отрывок из книги
The Sentient Enterprise is both a good book and a good sign. Let me explain each component of that proclamation further.
It’s a good book because two very smart and experienced gentlemen collaborated to produce some excellent advice on data and analytics. I’ve known both authors for over a decade, and they are, individually and collectively, powerful thought leaders.
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In our effort to build this new agile environment for analytics, we looked across many industries for other examples of agility. This cross-industry perspective can solve problems in one sector by looking to other kinds of business settings for challenges met and lessons learned. The context may be different, but the insights and solutions can be strikingly similar.
For instance, we can learn much about an agile decomposition approach to tomorrow’s data architectures by examining the Open Systems Interconnection (OSI) model that the telecommunications industry deployed as far back as the 1970s. OSI was developed to segment complicated infrastructure (wiring, relay circuits, software, etc.) into manageable chunks for better collaboration among various specialists.
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