Data Science Strategy for Dummies

ISBN-13: 9781119566250 / Angielski / Miękka / 2019 / 352 str.

Ulrika Jagare

Spis treści

Foreword xvIntroduction 1Part 1: Optimizing Your Data Science Investment 7Chapter 1: Framing Data Science Strategy 9Chapter 2: Considering the Inherent Complexity in Data Science 31Chapter 3: Dealing with Difficult Challenges 41Chapter 4: Managing Change in Data Science 51Part 2: Making Strategic Choices for Your Data 65Chapter 5: Understanding the Past, Present, and Future of Data 67Chapter 6: Knowing Your Data 85Chapter 7: Considering the Ethical Aspects of Data Science 97Chapter 8: Becoming Data-driven 103Chapter 9: Evolving from Data-driven to Machine-driven 113Part 3: Building a Successful Data Science Organization 119Chapter 10: Building Successful Data Science Teams 121Chapter 11: Approaching a Data Science Organizational Setup 133Chapter 12: Positioning the Role of the Chief Data Officer (CDO) 145Chapter 13: Acquiring Resources and Competencies 155Part 4: Investing in the Right Infrastructure 173Chapter 14: Developing a Data Architecture 175Chapter 15: Focusing Data Governance on the Right Aspects 193Chapter 16: Managing Models During Development and Production 203Chapter 17: Exploring the Importance of Open Source 213Chapter 18: Realizing the Infrastructure 223Part 5: Data as a Business 233Chapter 19: Investing in Data as a Business 235Chapter 20: Using Data for Insights or Commercial Opportunities 243Chapter 21: Engaging Differently with Your Customers 255Chapter 22: Introducing Data-driven Business Models 265Chapter 23: Handling New Delivery Models 281Part 6: The Part of Tens 295Chapter 24: Ten Reasons to Develop a Data Science Strategy 297Chapter 25: Ten Mistakes to Avoid When Investing in Data Science 305Index 315

O autorze

Ulrika Jägare is an M.Sc. Director at Ericsson AB. With a decade of experience in analytics and machine intelligence and 19 years in telecommunications, she has held leadership positions in R&D and product management. Ulrika was key to the Ericsson??s Machine Intelligence strategy and the recent Ericsson Operations Engine launch - a new data and AI driven operational model for Network Operations in telecommunications.