Additional information
by Ulrika Jägare (Author)
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.
Back Jacket
- Adopt a data-driven mindset for business success
- Keep your data science program focused on generating value
- Nurture a top-quality data science team
Who's afraid of data science? Not you!
Using data science, over 50% of businesses are generating valuable insight from big data. Here's how they're doing it. This book takes all the hocus-pocus out of data science and shows you how to build a data science function from scratch, incorporate it into any business, nurture a crack team of data scientists, use AI to create real value for your operation using a top notch data architecture and even invest in your own data products. It starts with a clear picture of what data science is and why it matters, then covers the process, what to consider, pitfalls to avoid, and how to make your program work for you.
Inside...
- Data science basics
- Framing a strategy
- Data-driven business models
- Choosing your data
- Ethical aspects of data usage
- Building a successful team
- Explaining the role of the Chief Data Officer
- Dealing with effective data architectures
Author Biography
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.
