ISSUE 342 · June 29, 2021InsightThe strategy-analytics revolutionFrom marketing and pricing to customer service and manufacturing, advanced analytics is key to many areas of business. But strategy is different. Strategy tends to rely on creative and thoughtful decision-makers to set aspirations and make bold choices. It's time to change that. Here's why. Sponsored LinkMitigate Bias, Duplication, and Costly Errors with High-Quality DataAt Alegion, we understand that when you don't have high-quality training data, it can cost companies millions of dollars. That is why we have created a whitepaper on how our team of experts achieves quality training data, and how you can too. Read more about our four prioritized phases, the significance of quality metrics, and how to implement it all. Tutorials, Projects & OpinionsReal Estate pricing with ML and non-traditional data sourcesNice overview of how machine learning can be used with non-traditional data to predict real estate prices faster and more accurately than traditional methods. Can an algorithm effectively consider a property’s appearance, surrounding environment and human mobility patterns? Yes, it can. On the “usefulness” of the Netflix PrizeTen years ago, Netflix offered a million dollar prize to the team that could most substantially improve the accuracy of the Netflix recommendation algorithm. At the time, turning algorithm development into a public contest was an innovative idea but after it was over, the winning solution was famously never put into production. Here's what happened and how, ultimately, the contest was a huge success. What, Exactly, Does a Data Product Manager Do?Data product management is growing fast but what does a data product manager do, exactly? Ask five people and you might get five different answers. Here's a good starting point for understanding this burgeoning field. Ace your next data science interviewGet better at data science interviews and sharpen your skills by solving a few questions per week. Join thousands of other data scientists and analysts practicing for interviews! Subscribe to our newsletter. ResourcesSports Analytics Reading ListRegardless of your skill level, this is a great reading list for all things sports analytics. Covers ⚽ 🏀 ⚾ 🏒 ⛳ 🏈 🥊 and more! 📚 Introduction to Modern StatisticsThis new text highlights multivariable relationships and simulation-based inference with a heavy emphasis on exploratory data analysis. It's easy to follow and with the interactive tutorials and supplemental downloads, it looks like it would be great as either a self-study guide or for classroom use. Free to access online or download as a PDF. Data VisualizationDesigning for the Data Visualization LifecycleMany of the tools that are currently used to create visualizations were designed in a different era. Today, the technology to build tools is more capable and, especially in data-driven organizations, visualization is everywhere and data literacy is higher. In this post, Elijah Meeks explores how the landscape has evolved and what's needed now. ![]() Data Elixir is curated and maintained by Lon Riesberg. If you have questions or suggestions for the newsletter, just reply back to this email. To find specific content from prior issues or to research topics, check out the catalogued Archives on Data Elixir's Search Page >> |