Companion website: https://sites.google.com/view/real-options
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
This book explores innovative themes that will trace the business paths for many firms in the near future. It is based on research and experience in several major companies, in particular the Snaidero Group (Europe’s leading company in the kitchen sector), with contributions by leading Information & Communication Technologies (ICT) companies.