Data Science Strategy For Dummies - by Ulrika Jgare (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b>All the answers to your data science questions</b></p> <p>Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? <i>Data Science Strategy For Dummies </i>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.</p> <p>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.</p> <ul> <li>Learn exactly what data science is and why it's important</li> <li>Adopt a data-driven mindset as the foundation to success</li> <li>Understand the processes and common roadblocks behind data science</li> <li>Keep your data science program focused on generating business value</li> <li>Nurture a top-quality data science team</li> </ul> <p>In non-technical language, <i>Data Science Strategy For Dummies </i>outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.</p><p/><br></br><p><b> From the Back Cover </b></p></br></br><ul> <li>Adopt a data-driven mindset for business success</li> <li>Keep your data science program focused on generating value</li> <li>Nurture a top-quality data science team</li> </ul> <p><b>Who's afraid of data science? Not you!</b> <p>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. <p><b>Inside...</b> <ul> <li>Data science basics</li> <li>Framing a strategy</li> <li>Data-driven business models</li> <li>Choosing your data</li> <li>Ethical aspects of data usage</li> <li>Building a successful team</li> <li>Explaining the role of the Chief Data Officer</li> <li>Dealing with effective data architectures</li> </ul><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Ulrika Jägare</b> 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.
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