Implementing Machine Learning For Deeper Marketing Insights

Does your sales and marketing organization want to leverage the valuable insights derived from Machine Learning technology, but you currently don’t have the available technical resources on board to get started?  eSage Group can help you leverage your current...

Case Study: Machine Learning & Predictive Analytics to Identify High CLTV Segments

Business Objective A subscription based clothing e-tailer in Los Angeles had been collecting lots of potentially insightful information on their customers, but they had not yet been able to mine this data and extract the desired insights to optimize their marketing...

Sports Analytics: Integrating Predictive Athlete Performance & Mktg Campaigns – March 20th’s Seattle Mktg Analytics Meetup

Steve Fox, Principal Software Engineering Manager at Microsoft, will walk through Microsoft’s experience in predictive sports analytics using machine learning built on Microsoft’s Sports Performance Platform. He will discuss predicting injury and overall...

Guest Post: The Digital Transformation of Retail

By ShiSh Shridhar, WW Director of Business Intelligence – Retail Sector, Microsoft You go shopping; let’s say it’s a national hardware store because you have a painting project you’ve decided to tackle this weekend. You have done your research online, chosen the...

The Great Data Migration – Part One

I don’t care who doubts our ability to succeed, as long as it’s nobody on my team. – Kobe Bryant, Los Angeles Lakers Guard Prepare For Takeoff Everyone, these days, is jettisoning on premise storage and sending their data to the cloud. The reasons are varied, but...
Variety Big Data Summit 2016 and the Ubiquity of Data in all Things

Variety Big Data Summit 2016 and the Ubiquity of Data in all Things

By Rob Lawrence – Southern California Business Development Manager, eSage Group Attending the Variety Big Data Summit for three years in a row now has always been a rewarding and insightful endeavor for me. My understanding of the data landscape in...