Data Science Strategy For Dummies (eBook)

Ulrika Jägare (Autor)

eBook Download: PDF

2019 | 1. Auflage
352 Seiten
John Wiley & Sons (Verlag)
978-1-119-56626-7 (ISBN)

Infos

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.

Autor

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.

Produkt-Details

• Erscheint lt. Verlag: 10.6.2019
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Office Programme ► Outlook
• Schlagworte: Computer Science • Data Mining & Knowledge Discovery • Data Mining u. Knowledge Discovery • Data Science • Informatik
• ISBN-10: 1-119-56626-6 / 1119566266
• ISBN-13: 978-1-119-56626-7 / 9781119566267