The Analytics Revolution : How to Improve Your Business by Making Analytics Operational in the Big Data Era.Publisher: Hoboken : John Wiley & Sons, Incorporated, 2014Copyright date: ©2014Edition: 1st edDescription: 1 online resource (307 pages)Content type:
- online resource
- HD38.7 -- .F733 2014eb
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Intro -- The Analytics Revolution: HOW TO IMPROVE YOUR BUSINESS BY MAKING ANALYTICS OPERATIONAL IN THE BIG DATA ERA -- Contents -- Foreword -- Preface -- Who Should Read This Book? -- Who Should Not Read This Book? -- What's in This Book? -- Part One: The Revolution Has Begun -- Part Two: Laying the Foundation -- Part Three: Making Analytics Operational -- Acknowledgments -- PART I THE REVOLUTION HAS BEGUN -- CHAPTER 1 Understanding Operational Analytics -- Defining Operational Analytics -- What Are Operational Analytics? -- Differentiating Operational Analytics -- Cornerstones That Make Operational Analytics Unique -- Welcome to Analytics 3.0 -- Analytics 1.0: Traditional Analytics -- Analytics 2.0: Big Data Analytics -- Analytics 3.0: Unified Analytics for Maximum Impact -- Operationalizing Analytics with Analytics 3.0 -- How Analytics Are Changing Business -- Analytics as the Goal, Not a By‐Product -- Analytics Products Are Blurring Industry Lines -- Operational Analytics Will Be Transformative -- Putting Operational Analytics in Perspective -- Data Quality and Timeliness Are as Crucial as Ever -- Do Operational Analytics Stifle Creativity? -- Many Concepts behind Operational Analytics Aren't Really New -- Wrap-Up -- Notes -- CHAPTER 2 More Data . . . More Data . . . Big Data! -- Cutting through the Hype -- What's the Definition of Big Data? Who Cares! -- Start from the Right Perspective -- Is There a Big Data Bubble? -- Preparing for Big Data -- The Big Data Tidal Wave Is Here -- New Information Is What Makes Big Data So Powerful -- Seek New Questions to Ask -- Data Retention Is No Longer a Binary Decision -- The Internet of Things Is Coming -- Putting Big Data in Context -- It's Not So Much Big Data as It Is Different Data -- Big Data Must Be Scaled across Multiple Dimensions -- Getting the Most Value from Big Data -- Back to the Future.
Big Data Is Going through a Maturity Curve -- Big Data Is a Global Phenomenon -- Wrap-Up -- Notes -- CHAPTER 3 Operational Analytics in Action -- Improving Customer Experiences -- Providing Magical Moments -- Enabling Consumer Transparency -- Upgrading Customer Service -- Enhancing the Online Experience -- Time Is of the Essence -- Security through Analytics -- The Hundred‐Million‐Dollar Millisecond -- Making Us Safer -- Avoiding Adverse Events -- Ensuring Product Freshness -- Government Can Get Operational Too -- Increasing Operational Efficiency -- Maximizing Power Capture -- Optimizing Power Generation -- Increasing Fuel Efficiency -- Improving Call Center Performance -- Improving Our Lives in the Future -- Freeing Our Time -- Keeping Us Healthy -- Finding Unexpected Value in Data -- Leveraging Location Data for Traffic Updates -- Leveraging Sensor Data to Improve Crop Yields -- Leveraging Compliance Data to Improve Sales -- Create Strategic Analytics Too -- Wrap-Up -- Notes -- PART II LAYING THE FOUNDATION -- CHAPTER 4 Want Budget? Build the Business Case! -- Setting the Priorities -- Start with a Business Problem, Not Data or Technology -- Focus on Returns, Not Costs -- Target Differentiators, Not Incremental Improvements -- Choosing the Right Decision Criteria -- Paint a Bigger Picture -- Time to Insight -- Ability to Operationalize -- Analysis Value versus Technology Value -- Business Case Framework to Consider -- What Are the Total Costs for Operational Analytics? -- Account for All Costs over Time -- The Most Overlooked Component of Cost -- Issues that Change the Formula -- Scalability Is Not Just about Storage and Processing -- Tips for Creating a Winning Business Case -- Don't Force a Business Case -- To Succeed, Start Small -- Accept Some Uncertainty -- There Are Many Options, So Choose Wisely -- Illustration of Doing It Right -- Wrap-Up.
Notes -- CHAPTER 5 Creating an Analytics Platform -- Planning -- Making Analytics Operational Is Not a Technology Issue -- Components Will Be Added, Not Replaced -- Different Platforms, Different Strengths -- Do What's Right Today -- Building -- Welcome to Fabric‐Based Computing -- Pillars of a Unified Analytics Environment -- Additional Supporting Technologies -- Using -- Any Analysis, Any Data, Any Time -- End Users Don't Care Where the Data Is Stored -- What about the Cloud? -- Wrap-Up -- Notes -- CHAPTER 6 Governance and Privacy -- Setting the Stage for Governance -- A Lesson from 1984 -- Security Clearance Model -- Partnership Is Required -- Governing the Internet of Things -- Deciding Where Analytics Happen -- Never Say Can't! -- Choose What Works Best -- Focus on the Right Mix -- Governing Operational Analytics -- Different Requirements -- Monitoring Operational Analytics -- Discovery Platform versus Discovery Environment -- Time to Insight versus Execution Time -- Privacy -- Is Big Data Becoming Big Brother? -- Setting Privacy Standards -- Privacy Catch‐22s -- The Future of Privacy Policies -- Wrap-Up -- Notes -- PART III MAKING ANALYTICS OPERATIONAL -- CHAPTER 7 The Analytics -- Creating Operational Analytics Processes -- Consistency of the Analytics Process -- From Batch Analytics to Operational Analytics -- Operational Analytics Are . . . -- Expanding into New Analytics Disciplines -- Defining Analytics Disciplines -- The Case for Multidiscipline Analytics -- Multidiscipline Analytics in Action -- Focusing Analytics Efforts -- Ask the Right Questions and Make Good Assumptions -- Place Your Bets! -- Don't Be Too Quick to Judge -- Comparing Analytics Approaches -- Discovery versus Confirmatory Analysis -- Research and Development versus Hacking -- Hardening a Process for Operational Scale -- Lessons from the Past.
Statistical Methods Are Still Relevant -- Don't Dismiss Sampling -- Don't Overcomplicate Analytics -- Operational Analytics Must Provide Solutions -- Wrap-Up -- Notes -- CHAPTER 8 The Analytics Organization -- A Major Shift Has Occurred -- Staffing -- Who Is the Analytics Professional? -- Old School and New School Agree -- Solving the Talent Crunch -- Cover All the Bases -- Maximizing Retention -- Organizing -- What Standard Structure? -- Recommended Structure -- Evolving to a Hybrid Model -- Do You Need a Chief Analytics Officer? -- What about a Chief Data Officer? -- Consider a Cross‐Functional Team -- Succeeding -- Leverage External Resources Intelligently -- To Succeed, Follow Through -- Managing Expectations Effectively -- Be Consultants, Mentors, and Coaches -- Think Like a Referee -- The Wrong Incentives Can Be Costly -- Wrap-Up -- Notes -- CHAPTER 9 The Analytics Culture -- Instilling the Proper Mind-Set -- Learn from Fleas -- Embrace Analytics from the Top Down -- Acknowledge the Value of Analytics Professionals -- Facilitate Behavior Change -- Overcome Resistance and Pushback -- Implementing Effective Policies -- Small Shifts in Mind‐set Can Yield Big Results -- Shifting IT From Serving to Enabling -- Ensure Proper Planning -- Facilitating Success -- Search for Unexpected Value -- Find the Early Adopters and Influencers -- Prepare a Marketing Campaign -- Enabling and Handling the Right Failures -- No Idea Is Bad . . . If It Can Be Tested -- Don't Take Failure Personally -- Don't Accept Failure through Ignorance -- Wrap-Up -- Notes -- CONCLUSION: Join the Revolution! -- About the Author -- Index -- EULA.
Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2019. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.