Data Science Strategy For Dummies - Softcover

Über die Autorin bzw. den 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.

Von der hinteren Coverseite

• 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

Aus dem Klappentext

• 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