摘要： The purpose of a Master Data Management program is to organize an organizations most important data assets, allowing them to be used efficiently and creatively. The choice of organizational styles determines how the data performs during an analysis, when building new relationships, and while making decisions that increase profits.
摘要： With the business world in a constant state of flux, flexibility is more important than ever for organisations of every stripe. Data-driven organisations have fared best; those with an enterprise data architecture that allows them to understand change and adapt to the volatility of current markets and supply changes are more resilient than their counterparts.
摘要： In this special guest feature, Michael Kanazawa, EY Global Innovation Realized Leader and EY Americas Advisory Growth Strategy Leader, discusses why data scientists and engineers should be working with designers, futurists, and business executives. With over 20 years of strategy and innovation experience, Michael is seasoned in developing corporate strategy and transformation as well as in building businesses – both within global corporations and as an entrepreneur. He earned an MBA from the University of Southern California, and BA in Economics and Mathematics from the University of California at Santa Barbara.
摘要： Asynchronous chat apps like Slack have done their best to kill email, but maybe the key to chat replacing email is just making email look like chat? That’s the idea of Spike, a productivity startup that has built an email app that organizes emails into chat bubbles with an interface that encourages users to keep it short and simple.
摘要： Previously, we looked at some Challenges of Data Science Projects. They can be difficult, and they do not always succeed. Below are 3 techniques to help your next project become a data science success.