Balaji Raman, Associate Vice President, Cogitaas AVA. The term marketing analytics is quite broad, it covers a gamut of problems concerning consumer segmentation, e-mail marketing, pricing, brand positioning, brand equity, fighting competition, spends optimization and allocation. In all cases, business decisions are taken based on rigorous data analytics done through statistical modelling. Here, I will focus … Continue reading Marketing Analytics in Practice
Bonnie Ray. VP Data Science, Talkspace. While applications of machine learning and data science are becoming commonplace in health research using information derived from Electronic Health Records (EHRs), large biological sample collections (i.e., -omics data), medical imaging data, and sensor data collected using medical devices, applications of large-scale machine learning in the behavioral health care … Continue reading Data Science Challenges in Behavioral Health Care Analysis
Tahir Ekin, McCoy College of Business, Texas State University. The INFORMS Annual Meeting was held in Houston, TX on October 22-25th, 2017. Initially, there were concerns about the readiness of Houston to host the conference after Hurricane Harvey. The organizing committee conducted a series of evaluations and decided to help the city get back to … Continue reading Perspectives from the INFORMS 2017 Annual Meeting
Kimberly F. Sellers, Department of Mathematics and Statistics, Georgetown University The 2017 Women in Statistics and Data Science (WSDS) conference occurred on October 19-21, 2017 in La Jolla, California, bringing together women statisticians from industry, academia, and government. WSDS is a unique, three-day conference that features plenary talks from leaders in their respective fields, as … Continue reading Sharing WISDOM at the Women in Statistics and Data Science Conference
Hongxia Yang, Director & Senior Staff Data Scientist, Alibaba Group. What is Data Science? And what is Data Science in a leading global company? Let me share a few thoughts based on my industry experience over the past few years and my current job at Alibaba Inc. We have all heard of this company as … Continue reading Data Science at Alibaba
Ron S. Kenett, KPA Group, Samuel Neaman Institute, Technion and Institute for Drug Research, Hebrew University, Jerusalem, Israel. (firstname.lastname@example.org). An eminent statistician labeled the American Statistical Association (ASA) statement on p values with the title of this blog. This post is about the ASA SSI held in Bethesda Maryland on October 11-12th, 2017, and my own … Continue reading “To p or not to p” –my thoughts on the ASA Symposium on Statistical Inference.
by Ankur Gupta, Machine Learning Scientist, Premise Data, San Francisco. Increased internet connectivity has allowed large numbers of people to work towards a single goal in a distributed fashion. This practice is called crowdsourcing and we see successful examples of crowdsourcing everywhere. The most famous example is perhaps Wikipedia, which allows anyone in the world … Continue reading Using statistics and data science to build a crowdsourcing data platform