The Sentient Enterprise: The Evolution of Business Decision Making

ISBN-13: 9781119438861 / Angielski / Twarda / 2017 / 176 str.

Oliver Ratzesberger; Mohanbir Sawhney

Opis

Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry--and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. They continually hear the same issues, such as:

• We're spending valuable meeting time wondering why everyone's data doesn't match up.
• We can't leverage our economies of scale while remaining agile with data.
• We need self-serve apps that let the enterprise experiment with data and accelerate the development process.
• We need to get on a more predictive curve to ensure long-term success.

To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process--but a methodology to become agile and leverage data and analytics to drive a competitive advantage. You know, it's amazing what can happen when two people with very different perspectives get together to solve a big problem. This evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields--one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at Teradata. Together, they created a powerful framework every type of business can use to connect analytic power, business practices, and human dynamics in ways that can transform what is currently possible.

Spis treści

Foreword ix

Introduction xiii

Chapter 1 Reimagining the Enterprise 1

Disruption and Decision Making 3

Self–Disruption at Cisco: On Purpose and at Scale 4

Self–Disrupt in Sustainable Ways 5

Analytic Pain Points and a Self–Service Revolution 6

Access and Control 8

A Necessary Evolution 11

Putting It All Together 12

Chapter 2 Leveraging an Expanding Universe of Data 15

A Universe of Data: Expanding Exponentially with New Sources 17

Game–Changing Capabilities 20

Well–Intentioned Anarchy 22

Data Marts and Their Discontents 23

A Solution? “LinkedIn for Analytics” 25

Getting Back to eBay: Fulfilling the Analytics Mandate 27

Chapter 3 The Agile Data Platform 31

Retaining Agility at Scale 32

Rethinking Waterfall Methodologies 34

Agile Analytics 35

Spreading Agility Company–Wide with the Virtual Data Mart 36

A Virtual Data Mart (by Any Other Name) in Action 38

Time Boxing 39

Fewer Requirements, More Prototypes 40

Analytics on Analytics 41

Making It Real with the Layered Data Architecture 42

Driving Change in the Auto Industry 45

Remembering the Big Picture 46

Chapter 4 The Behavioral Data Platform 49

Personalized—If Not Personal—Interaction 52

New Measures for Success, Built on Behavioral Data 53

Leveraging Behavioral Data for Real–World Business Challenges 55

Behavioral Data Is Everywhere 58

Agile Systems for Behavioral Data 59

Back Inside the Layered Data Architecture 62

Reaping Value and Insight 64

Proactive Data Standards and Designing for the Unknown 65

Chapter 5 The Collaborative Ideation Platform 67

Avoiding “Anti–Social” Analytics 68

The Problem of Metadata at Scale 70

Collaboration and Context at Scale 72

Merchandising Analytic Insights 73

Staying on the Path to Value through Analytics on Analytics 75

Adoption Takes Time 77

Operationalizing Insights 78

Chapter 6 The Analytical Application Platform 81

Turning Analytic Insight into Action Across the Organization 83

Lessons from the Cloud 85

Creating an App Economy for the Enterprise 86

DevOps to Make It Real 88

Less ETL . . . 91

. . . More “Data Listening” 92

Setup for Sentience 94

Chapter 7 The Autonomous Decisioning Platform 97

Fast–Changing Capabilities 99

Self–Driving Cars … and Companies 100

“System of Systems” Building Blocks for Sentience 101

Algorithms: A Must–Have for Autonomous Decisioning 102

Strategically Applying Algorithmic Intelligence in the Enterprise 105

Algorithmic “Magic” 106

Analytics on Algorithms to Improve Decision Making 107

Combining Algorithms on the Home Stretch to Sentience 109

Agility as the Ultimate Litmus Test 111

Chapter 8 Implementing Your Course to Sentience 113

Ask the Right Questions, Warts and All 115

Agile Strategic Planning Is Not an Oxymoron 116

Adopt a Start–Up Mind–Set and Don’t Boil the Ocean 118

Pick the Right Internal Partners to Demonstrate Value 119

Embrace Agile Project Management Strategies 120

Embrace Concurrency, Ensure Scalability 120

Design in Governance That’s Seamless and Repeatable 121

Optimize a Workforce to Act Fast, Fail Fast, and Scale Fast 122

“It’s the Culture, Stupid” 123

Conclusion 125

Acknowledgments 137

About the Authors 139

Index 141

 

O autorze

OLIVER RATZESBERGER is executive vice president and chief product officer of Teradata Corporation. Prior to Teradata, he spent seven years at eBay where he led their data warehouse and big data platform programs. He also has deep experience with open source startups. Ratzesberger joined Teradata in early 2013 as leader of the Teradata Research & Development software teams. As head of Teradata R&D, he now oversees a global organization including more than 1,900 technologists around the world.

MOHAN SAWHNEY is the McCormick Foundation Chair of Technology, Clinical Professor of Marketing and the Director, Center for Research in Technology & Innovation at the Kellogg School of Management at Northwestern University. Professor Sawhney is a globally recognized scholar, teacher, consultant and speaker in innovation, strategic marketing and new media. His research and teaching currently focuses on modern marketing, organic growth and business innovation. Professor Sawhney advises and speaks to Global 2000 firms and governments worldwide and has written six management books as well as dozens of influential articles in leading academic journals and managerial publications.

OLIVER RATZESBERGER is executive
vice president and chief product officer
of Teradata Corporation. Prior to Teradata,
he spent seven years at eBay where he led
their data warehouse and big data platform
programs. He also has deep experience
with open source startups. Ratzesberger
joined Teradata in early 2013 as leader
of the Teradata Research & Development
software teams. As head of Teradata R&D,
he now oversees a global organization
including more than 1,900 technologists
around the world.
MOHAN SAWHNEY is the McCormick
Foundation chair of technology, clinical
professor of marketing and the director,
Center for Research in Technology &
Innovation at the Kellogg School of
Management at Northwestern University.
Professor Sawhney is a globally recognized
scholar, teacher, consultant and speaker
in innovation, strategic marketing and new
media. His research and teaching currently
focuses on modern marketing, organic
growth and business innovation. Professor
Sawhney advises and speaks to Global
2000 firms and governments worldwide
and has written six management books
as well as dozens of influential articles in
leading academic journals and managerial
publications.

Blurb

A NEW MODEL FOR ANALYTIC CAPABILITY, MATURITY, AND AGILITY AT SCALE

The Sentient Enterprise summarizes the achievement of "sentience" that an analytics journey should lead companies toward. It′s not meant to represent an actual destination.

The Sentient Enterprise is more of a North Star that every large business should aspire to be, as it struggles to make decisions at the speed of data. However, Mohan and Oliver did determine that a Sentient Enterprise must have five foundational qualities.

It must be:

• Proactive and able to sense micro–trends signaling the next opportunity or alerting the next crisis
• Frictionless because it can act as a single organism without any impedance or bottlenecks
• Autonomous to listen to data and make decisions in real time without much human intervention
• Scalable to any size company and able to leverage unlimited data for making decisions
• Evolving through intelligence that is native and emergent

In order to get there, any enterprise has to go on a journey. The Sentient Enterprise journey is the way your company will get there. This methodology is disrupting entire industries and changing the very nature – the very identity – of large companies across nearly all sectors of our economy. It is a journey every big company should take if they seek to understand how data can help them become even better in order to survive and compete in today′s data–driven marketplace.

It will change the way everyone in business makes decisions – from small, tactical ones to mission–critical ones – by continuously decomposing problems into manageable components.

But it is a journey only a few brave ones have started because it is as long–term and complex as it is realistic and valuable. But make no mistake about it – it′s an ongoing journey.

There is no finish line.

This is not for the meek or faint of heart.

It′s for the early adopters among you who want to get ahead of the competition or for the followers among you to ensure your survival.

And for the unconcerned? Hmm… well… odds are you will lose out to your competitors who are already building architectures and strategies to lead the way.

Mohan and Oliver believe you can be the pioneers of your organizations. You want to take your company in the direction it needs to go to survive, lead, and disrupt in this changing, data–intensive world.

This book will inspire you by getting you to think about how this model can bring you competitive advantage and not just ideas about data innovation. Success is possible if you embrace the changes and methods needed to fully leverage big data analytics for your businesses.