Big Data MBA: Driving Business Strategies with Data Science 1st Edition by Bill Schmarzo – Ebook PDF Instant Download/Delivery: 1119238846, 978-1119238843
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ISBN 10: 1119238846
ISBN 13: 978-1119238843
Author: Bill Schmarzo
Big Data MBA: Driving Business Strategies with Data Science 1st Edition: Integrate big data into business to drive competitive advantage and sustainable success
Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You’ll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization’s user experience to customers and front-end employees alike. You’ll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce.
Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization’s data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity.
- Understand where and how to leverage big data
- Integrate analytics into everyday operations
- Structure your organization to drive analytic insights
- Optimize processes, uncover opportunities, and stand out from the rest
- Help business stakeholders to “think like a data scientist”
- Understand appropriate business application of different analytic techniques
Big Data MBA: Driving Business Strategies with Data Science 1st Edition Table of 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
Chapter 2: Big Data Business Model Maturity Index
- Introducing the Big Data Business Model Maturity Index
- Phases 1–5: Business Monitoring to Business Metamorphosis
- Big Data Business Model Maturity Index Lessons Learned
Chapter 3: The Big Data Strategy Document
- Establishing Common Business Terminology
- Identifying the Organization’s Key Business Initiatives
- Prioritizing Data Sources
- Using the Big Data Strategy Document to Win the World Series
Chapter 4: The Importance of the User Experience
- The Unintelligent User Experience
- Supporting User Decisions
- Consumer and Business Case Studies
- Financial Advisor Case Study
Part II: Data Science
Chapter 5: Differences Between Business Intelligence and Data Science
- What Is Data Science?
- BI vs. Data Science: The Questions Are Different
- The Engagement Process for Analysts vs. Data Scientists
- The Models and View of the Business
Chapter 6: Data Science 101
- Exploratory Analytics and Trend Analysis
- Analytic Algorithms and Models
- Use Cases: Cluster Analysis, Time Series, Text Mining, Sentiment Analysis, and More
Chapter 7: The Data Lake
- Introduction to the Data Lake
- Building a Business-Ready Data Lake
- Analytics Hub and Spoke Analytics Architecture
- Early Learnings
Part III: Data Science for Business Stakeholders
Chapter 8: Thinking Like a Data Scientist
- The Process of Thinking Like a Data Scientist
- Steps to Identify Key Business Initiative and Develop Business Stakeholder Personas
Chapter 9: “By” Analysis Technique
- “By” Analysis Introduction
- Foot Locker Use Case
Chapter 10: Score Development Technique
- Definition of a Score
- FICO Score Example
Chapter 11: Monetization Exercise
- Fitness Tracker Monetization Example
Chapter 12: Metamorphosis Exercise
- Business Metamorphosis Review
- Business Metamorphosis in Health Care
Part IV: Building Cross-Organizational Support
Chapter 13: Power of Envisioning
- Envisioning: Fueling Creative Thinking
- Big Data Vision Workshop Process
Chapter 14: Organizational Ramifications
- Chief Data Monetization Officer
- Analytics Center of Excellence
- Privacy, Trust, and Decision Governance
Chapter 15: Stories
- Customer and Employee Analytics
- Product and Device Analytics
- Characteristics of a Good Business Story
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