Data Science Strategy For Dummies

Name: Data Science Strategy For Dummies
Availability: InStock
ISBN: 9781119566250

Overview

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.

About The Author

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.

Sample Chapters

Read Sample

data science strategy for dummies

CHEAT SHEET

A revolutionary change is taking place in society and it involves data science. Everybody from small local companies to global enterprises is starting to realize the potential of data science and is seeing the value in digitizing their data assets and becoming data driven. Regardless of industry, companies have embarked on a similar journey to explore how to drive new business value by utilizing analytics, machine learning (ML), and artificial intelligence (AI) techniques and introducing data science as a new discipline.