Big Data MBA : Driving Business Strategies with Data Science.
Bill. Schmarzo
Bok Engelsk 2015 · Electronic books.
| Omfang | 1 online resource (314 pages)
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| Utgave | 1st ed.
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| Opplysninger | Cover -- Title Page -- Copyright -- Contents -- Part I Business Potential of Big Data -- Chapter 1 The Big Data Business Mandate -- Big Data MBA Introduction -- Focus Big Data on Driving Competitive Differentiation -- Leveraging Technology to Power Competitive Differentiation -- History Lesson on Economic-Driven Business Transformation -- Critical Importance of "Thinking Differently -- Don't Think Big Data Technology, Think Business Transformation -- Don't Think Business Intelligence, Think Data Science -- Don't Think Data Warehouse, Think Data Lake -- Don't Think "What Happened," Think "What Will Happen -- Don't Think HIPPO, Think Collaboration -- Summary -- Homework Assignment -- Chapter 2 Big Data Business Model Maturity Index -- Introducing the Big Data Business Model Maturity Index -- Phase 1: Business Monitoring -- Phase 2: Business Insights -- Phase 3: Business Optimization -- Phase 4: Data Monetization -- Phase 5: Business Metamorphosis -- Big Data Business Model Maturity Index Lessons Learned -- Lesson 1: Focus Initial Big Data Efforts Internally -- Lesson 2: Leverage Insights to Create New Monetization Opportunities -- Lesson 3: Preparing for Organizational Transformation -- Summary -- Homework Assignment -- Chapter 3 The Big Data Strategy Document -- Establishing Common Business Terminology -- Introducing the Big Data Strategy Document -- Identifying the Organization's Key Business Initiatives -- What's Important to Chipotle? -- Identify Key Business Entities and Key Decisions -- Identify Financial Drivers (Use Cases) -- Identify and Prioritize Data Sources -- Introducing the Prioritization Matrix -- Using the Big Data Strategy Document to Win the World Series -- Summary -- Homework Assignment -- Chapter 4 The Importance of the User Experience -- The Unintelligent User Experience -- Capture the Key Decisions.. - Action #3: Off-Load ETL Processes from Data Warehouses -- Analytics Hub and Spoke Analytics Architecture -- Early Learnings -- Lesson #1: The Name Is Not Important -- Lesson #2: It's Data Lake, Not Data Lakes -- Lesson #3: Data Governance Is a Life Cycle, Not a Project -- Lesson #4: Data Lake Sits Before Your Data Warehouse, Not After It -- What Does the Future Hold? -- Summary -- Homework Assignment -- Part III Data Science for Business Stakeholders -- Chapter 8 Thinking Like a Data Scientist -- The Process of Thinking Like a Data Scientist -- Step 1: Identify Key Business Initiative -- Step 2: Develop Business Stakeholder Personas -- Step 3: Identify Strategic Nouns -- Step 4: Capture Business Decisions -- Step 5: Brainstorm Business Questions -- Step 8: Putting Analytics into Action -- Summary -- Homework Assignment -- Chapter 9 "By" Analysis Technique -- By" Analysis Introduction -- By" Analysis Exercise -- Foot Locker Use Case "By" Analysis -- Summary -- Homework Assignment -- Chapter 10 Score Development Technique -- Definition of a Score -- FICO Score Example -- Other Industry Score Examples -- LeBron James Exercise Continued -- Foot Locker Example Continued -- Summary -- Homework Assignment -- Chapter 11 Monetization Exercise -- Fitness Tracker Monetization Example -- Step 1: Understand Product Usage -- Step 2: Develop Stakeholder Personas -- Step 3: Brainstorm Potential Recommendations -- Step 4: Identify Supporting Data Sources -- Step 5: Prioritize Monetization Opportunities -- Step 6: Develop Monetization Plan -- Summary -- Homework Assignment -- Chapter 12 Metamorphosis Exercise -- Business Metamorphosis Review -- Business Metamorphosis Exercise -- Articulate the Business Metamorphosis Vision -- Understand Your Customers -- Articulate Value Propositions -- Define Data and Analytic Requirements -- Business Metamorphosis in Health Care.. - Summary -- Homework Assignment -- Part IV Building Cross-Organizational Support -- Chapter 13 Power of Envisioning -- Envisioning: Fueling Creative Thinking -- Big Data Vision Workshop Process -- Pre-engagement Research -- Business Stakeholder Interviews -- Explore with Data Science -- Workshop -- Setting Up the Workshop -- The Prioritization Matrix -- Summary -- Homework Assignment -- Chapter 14 Organizational Ramifications -- Chief Data Monetization Officer -- CDMO Responsibilities -- CDMO Organization -- Analytics Center of Excellence -- CDMO Leadership -- Privacy, Trust, and Decision Governance -- Privacy Issues = Trust Issues -- Decision Governance -- Unleashing Organizational Creativity -- Summary -- Homework Assignment -- Chapter 15 Stories -- Customer and Employee Analytics -- Product and Device Analytics -- Network and Operational Analytics -- Characteristics of a Good Business Story -- Summary -- Homework Assignment -- Index -- EULA.. - Support the User Decisions -- Consumer Case Study: Improve Customer Engagement -- Business Case Study: Enable Frontline Employees -- Store Manager Dashboard -- Sample Use Case: Competitive Analysis -- Additional Use Cases -- B2B Case Study: Make the Channel More Effective -- The Advisors Are Your Partners-Make Them Successful -- Financial Advisor Case Study -- Informational Sections of Financial Advisor Dashboard -- Recommendations Section of Financial Advisor Dashboard -- Summary -- Homework Assignment -- Part II Data Science -- Chapter 5 Differences Between Business Intelligence and Data Science -- What Is Data Science? -- BI Versus Data Science: The Questions Are Different -- BI Questions -- Data Science Questions -- The Analyst Characteristics Are Different -- The Analytic Approaches Are Different -- Business Intelligence Analyst Engagement Process -- The Data Scientist Engagement Process -- The Data Models Are Different -- Data Modeling for BI -- Data Modeling for Data Science -- The View of the Business Is Different -- Summary -- Homework Assignment -- Chapter 6 Data Science 101 -- Data Science Case Study Setup -- Fundamental Exploratory Analytics -- Trend Analysis -- Boxplots -- Geographical (Spatial) Analysis -- Pairs Plot -- Time Series Decomposition -- Analytic Algorithms and Models -- Cluster Analysis -- Normal Curve Equivalent (NCE) Analysis -- Association Analysis -- Graph Analysis -- Text Mining -- Sentiment Analysis -- Traverse Pattern Analysis -- Decision Tree Classifier Analysis -- Cohorts Analysis -- Summary -- Homework Assignment -- Chapter 7 The Data Lake -- Introduction to the Data Lake -- Characteristics of a Business-Ready Data Lake -- Using the Data Lake to Cross the Analytics Chasm -- Modernize Your Data and Analytics Environment -- Action #1: Create a Hadoop-Based Data Lake -- Action #2: Introduce the Analytics Sandbox.
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| Emner | |
| Sjanger | |
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| ISBN | 9781119181385
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