{"product_id":"the-sentient-enterprise-isbn-9781119438861","title":"The Sentient Enterprise","description":"\u003cp\u003eMohan 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWe're spending valuable meeting time wondering why everyone's data doesn't match up.\u003c\/li\u003e \u003cli\u003eWe can't leverage our economies of scale while remaining agile with data.\u003c\/li\u003e \u003cli\u003eWe need self-serve apps that let the enterprise experiment with data and accelerate the development process.\u003c\/li\u003e \u003cli\u003eWe need to get on a more predictive curve to ensure long-term success.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTo 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.\u003c\/p\u003e \u003cp\u003eYou 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 \u003ci\u003ea-ha\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eForeword ix\u003c\/p\u003e \u003cp\u003eIntroduction xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Reimagining the Enterprise 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDisruption and Decision Making 3\u003c\/p\u003e \u003cp\u003eSelf-Disruption at Cisco: On Purpose and at Scale 4\u003c\/p\u003e \u003cp\u003eSelf-Disrupt in Sustainable Ways 5\u003c\/p\u003e \u003cp\u003eAnalytic Pain Points and a Self-Service Revolution 6\u003c\/p\u003e \u003cp\u003eAccess and Control 8\u003c\/p\u003e \u003cp\u003eA Necessary Evolution 11\u003c\/p\u003e \u003cp\u003ePutting It All Together 12\u003c\/p\u003e \u003cp\u003eChapter 2 Leveraging an Expanding Universe of Data 15\u003c\/p\u003e \u003cp\u003eA Universe of Data: Expanding Exponentially with New Sources 17\u003c\/p\u003e \u003cp\u003eGame-Changing Capabilities 20\u003c\/p\u003e \u003cp\u003eWell-Intentioned Anarchy 22\u003c\/p\u003e \u003cp\u003eData Marts and Their Discontents 23\u003c\/p\u003e \u003cp\u003eA Solution? “LinkedIn for Analytics” 25\u003c\/p\u003e \u003cp\u003eGetting Back to eBay: Fulfilling the Analytics Mandate 27\u003c\/p\u003e \u003cp\u003eChapter 3 The Agile Data Platform 31\u003c\/p\u003e \u003cp\u003eRetaining Agility at Scale 32\u003c\/p\u003e \u003cp\u003eRethinking Waterfall Methodologies 34\u003c\/p\u003e \u003cp\u003eAgile Analytics 35\u003c\/p\u003e \u003cp\u003eSpreading Agility Company-Wide with the Virtual Data Mart 36\u003c\/p\u003e \u003cp\u003eA Virtual Data Mart (by Any Other Name) in Action 38\u003c\/p\u003e \u003cp\u003eTime Boxing 39\u003c\/p\u003e \u003cp\u003eFewer Requirements, More Prototypes 40\u003c\/p\u003e \u003cp\u003eAnalytics on Analytics 41\u003c\/p\u003e \u003cp\u003eMaking It Real with the Layered Data Architecture 42\u003c\/p\u003e \u003cp\u003eDriving Change in the Auto Industry 45\u003c\/p\u003e \u003cp\u003eRemembering the Big Picture 46\u003c\/p\u003e \u003cp\u003eChapter 4 The Behavioral Data Platform 49\u003c\/p\u003e \u003cp\u003ePersonalized—If Not Personal—Interaction 52\u003c\/p\u003e \u003cp\u003eNew Measures for Success, Built on Behavioral Data 53\u003c\/p\u003e \u003cp\u003eLeveraging Behavioral Data for Real-World Business Challenges 55\u003c\/p\u003e \u003cp\u003eBehavioral Data Is Everywhere 58\u003c\/p\u003e \u003cp\u003eAgile Systems for Behavioral Data 59\u003c\/p\u003e \u003cp\u003eBack Inside the Layered Data Architecture 62\u003c\/p\u003e \u003cp\u003eReaping Value and Insight 64\u003c\/p\u003e \u003cp\u003eProactive Data Standards and Designing for the Unknown 65\u003c\/p\u003e \u003cp\u003eChapter 5 The Collaborative Ideation Platform 67\u003c\/p\u003e \u003cp\u003eAvoiding “Anti-Social” Analytics 68\u003c\/p\u003e \u003cp\u003eThe Problem of Metadata at Scale 70\u003c\/p\u003e \u003cp\u003eCollaboration and Context at Scale 72\u003c\/p\u003e \u003cp\u003eMerchandising Analytic Insights 73\u003c\/p\u003e \u003cp\u003eStaying on the Path to Value through Analytics on Analytics 75\u003c\/p\u003e \u003cp\u003eAdoption Takes Time 77\u003c\/p\u003e \u003cp\u003eOperationalizing Insights 78\u003c\/p\u003e \u003cp\u003eChapter 6 The Analytical Application Platform 81\u003c\/p\u003e \u003cp\u003eTurning Analytic Insight into Action Across the Organization 83\u003c\/p\u003e \u003cp\u003eLessons from the Cloud 85\u003c\/p\u003e \u003cp\u003eCreating an App Economy for the Enterprise 86\u003c\/p\u003e \u003cp\u003eDevOps to Make It Real 88\u003c\/p\u003e \u003cp\u003eLess ETL . . . 91\u003c\/p\u003e \u003cp\u003e. . . More “Data Listening” 92\u003c\/p\u003e \u003cp\u003eSetup for Sentience 94\u003c\/p\u003e \u003cp\u003eChapter 7 The Autonomous Decisioning Platform 97\u003c\/p\u003e \u003cp\u003eFast-Changing Capabilities 99\u003c\/p\u003e \u003cp\u003eSelf-Driving Cars … and Companies 100\u003c\/p\u003e \u003cp\u003e“System of Systems” Building Blocks for Sentience 101\u003c\/p\u003e \u003cp\u003eAlgorithms: A Must-Have for Autonomous Decisioning 102\u003c\/p\u003e \u003cp\u003eStrategically Applying Algorithmic Intelligence in the Enterprise 105\u003c\/p\u003e \u003cp\u003eAlgorithmic “Magic” 106\u003c\/p\u003e \u003cp\u003eAnalytics on Algorithms to Improve Decision Making 107\u003c\/p\u003e \u003cp\u003eCombining Algorithms on the Home Stretch to Sentience 109\u003c\/p\u003e \u003cp\u003eAgility as the Ultimate Litmus Test 111\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Implementing Your Course to Sentience 113\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAsk the Right Questions, Warts and All 115\u003c\/p\u003e \u003cp\u003eAgile Strategic Planning Is Not an Oxymoron 116\u003c\/p\u003e \u003cp\u003eAdopt a Start-Up Mind-Set and Don’t Boil the Ocean 118\u003c\/p\u003e \u003cp\u003ePick the Right Internal Partners to Demonstrate Value 119\u003c\/p\u003e \u003cp\u003eEmbrace Agile Project Management Strategies 120\u003c\/p\u003e \u003cp\u003eEmbrace Concurrency, Ensure Scalability 120\u003c\/p\u003e \u003cp\u003eDesign in Governance That’s Seamless and Repeatable 121\u003c\/p\u003e \u003cp\u003eOptimize a Workforce to Act Fast, Fail Fast, and Scale Fast 122\u003c\/p\u003e \u003cp\u003e“It’s the Culture, Stupid” 123\u003c\/p\u003e \u003cp\u003eConclusion 125\u003c\/p\u003e \u003cp\u003eAcknowledgments 137\u003c\/p\u003e \u003cp\u003eAbout the Authors 139\u003c\/p\u003e \u003cp\u003eIndex 141\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eOLIVER RATZESBERGER\u003c\/b\u003e 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 \u0026amp; Development software teams. As head of Teradata R\u0026amp;D, he now oversees a global organization including more than 1,900 technologists around the world.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMOHAN SAWHNEY\u003c\/b\u003e is the McCormick Foundation Chair of Technology, Clinical Professor of Marketing and the Director, Center for Research in Technology \u0026amp; 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.\u003c\/p\u003e \u003cp\u003eMohan 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWe're spending valuable meeting time wondering why everyone's data doesn't match up.\u003c\/li\u003e \u003cli\u003eWe can't leverage our economies of scale while remaining agile with data.\u003c\/li\u003e \u003cli\u003eWe need self-serve apps that let the enterprise experiment with data and accelerate the development process.\u003c\/li\u003e \u003cli\u003eWe need to get on a more predictive curve to ensure long-term success.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTo 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.\u003c\/p\u003e \u003cp\u003eYou 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 \u003ci\u003ea-ha\u003c\/i\u003e 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.\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eA NEW MODEL FOR ANALYTIC CAPABILITY, MATURITY, AND AGILITY AT SCALE\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Sentient Enterprise\u003c\/i\u003e summarizes the achievement of \"sentience\" that an analytics journey should lead companies toward. It's not meant to represent an actual destination.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Sentient Enterprise\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eIt must be:  \u003c\/p\u003e\u003cul\u003e \u003cli\u003e\n\u003cb\u003eProactive\u003c\/b\u003e and able to sense micro-trends signaling the next opportunity or alerting the next crisis\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eFrictionless\u003c\/b\u003e because it can act as a single organism without any impedance or bottlenecks\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eAutonomous\u003c\/b\u003e to listen to data and make decisions in real time without much human intervention\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eScalable\u003c\/b\u003e to any size company and able to leverage unlimited data for making decisions\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eEvolving\u003c\/b\u003e through intelligence that is native and emergent\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003eIn order to get there, any enterprise has to go on a journey. \u003ci\u003eThe Sentient Enterprise\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eIt will change the way everyone in business makes decisions – from small, tactical ones to mission-critical ones – by continuously decomposing problems into manageable components.  \u003c\/p\u003e\u003cp\u003eBut 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.  \u003c\/p\u003e\u003cp\u003eThere is no finish line.  \u003c\/p\u003e\u003cp\u003eThis is not for the meek or faint of heart.  \u003c\/p\u003e\u003cp\u003eIt'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. \u003c\/p\u003e\u003cp\u003eAnd 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.  \u003c\/p\u003e\u003cp\u003eMohan 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.  \u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990338978021,"sku":"NP9781119438861","price":29.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119438861.jpg?v=1761787419","url":"https:\/\/k12savings.com\/es\/products\/the-sentient-enterprise-isbn-9781119438861","provider":"K12savings","version":"1.0","type":"link"}