Data Science Strategy For Dummies (For Dummies (Computer/Tech))
Authors: Jägare
ISBN-10: 1119566258
ISBN-13: 9781119566250
Edition 版本: 1
Released: 2019-07-11
Print Length 页数: 352 pages
Book Description
All the answers to your data science questions
Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch,starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists.
With this book,you’ll learn how to incorporate data science as a strategic function into any business,large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data.
Learn exactly what data science is and why it’s important
Adopt a data-driven mindset as the foundation to success
Understand the processes and common roadblocks behind data science
Keep your data science program focused on generating business value
Nurture a top-quality data science team
In non-technical language,Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.
Introduction
Part 1: Optimizing Your Data Science Investment
Chapter 1: Framing Data Science Strategy
Chapter 2: Considering the Inherent Complexity in Data Science
Chapter 3: Dealing with Diffhcult Challenges
Chapter 4: Managing Change in Data Science
Part 2: Making Strategic Choices for Your Data
Chapter 5: Understanding the Past,Present,and Future of Data
Chapter 6: Knowing Your Data
Chapter 7: Considering the Ethical Aspects of Data Science
Chapter 8: Becoming Data-driven
Chapter 9: Evolving from Data-driven to Machine-driven
Part 3: Building a Successful Data Science Organization
Chapter 10: Building Successful Data Science Teams
Chapter 11: Approaching a Data Science Organizational Setup
Chapter 12: Positioning the Role of the Chief Data Officer (CDO)
Chapter 13: Acquiring Resources and Competencies
Part 4: Investing in the Right Infrastructure
Chapter 14: Developing a Data Architecture
Chapter 15: Focusing Data Governance on the Right Aspects
Chapter 16: Managing Models During Development and Production
Chapter 17: Exploring the Importance of Open Source
Chapter 18: Realizing the Infrastructure
Part 5: Data as a Business
Chapter 19: Investing in Data as a Business
Chapter 20. Using Data for Insights or Commercial Opportunities
Chapter 21: Engaging Differently with Your Customers
Chapter 22: Introducing Data-driven Business Models
Chapter 23: Handling New Delivery Models
Part 6: The Part of Tens
Chapter 24: Ten Reasons to Develop a Data Science Strategy
Chapter 25: Ten Mistakes to Avoid When Investing in Data Science
Index
About the Author
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