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Big Data & Analytics for Retail Day 1 @Customer Analytics Innovation Summit

June 7, 2017 @ 7:30 am - 5:00 pm

Data about our browsing and buying patterns are more accessible than ever. The Customer Analytics Innovation Summit brings together innovation leaders from the world’s most reputable companies to discuss how we can deep dive into this data to identify, attract and retain.

Partner Event – 


You must register to attend – https://theinnovationenterprise.com/summits/customer-analytics-innovation-summit-chicago-2017/registration


07:30 – Registration & Pre-Summit Breakfast

08:30 – Chairperson Overview

8:45am – Build a Profitable Customer Analytics Agenda

9:15am – Creating Happy Customers with Cognitive Computing & Communications

9:45am – Actionable & Scalable Analytics

10:15am – Coffee Break – Exhibition Area

11:00am – How to Identify e-Commerce Losses & Opportunities in Real Time with Machine Learning

11:30am – How Groupon Reaches Targets High Value Customers

12:00pm – How Machine Learning Is Transforming Shopping (And Selling)


12:30pm = eCommerce Conversion

1:00pm – Lunch

2:00pm – Omni-Channel Measurement – from Digital to the Store

2:30pm – PANEL – Leveraging Digital Analytics to Improve Customer Experience

3:30pm – Coffee Break

4:00pm – Day 1 round-up – 1 thing you have learned today

4:10pm – Optimize your Omni-Channel Strategies

16:40pm – Networking Drinks Reception

Apex and DataTorrent RTS is being actively used in use cases relating to Fast Big Data & Cloud. Common use cases include Fraud Prevention, CEP, Machine Scoring, Dimensional computation, Streaming Analytics & Batch ETL, This event will help our community relate to using Apex.

To reduce time to market and total cost of ownership, look at operable <a href=”https://www.datatorrent.com/apphub”>solutions factory – (https://www.datatorrent.com/apphub) that you can quickly import and launch. Examples: HDFS to HDFS (back-up, replication, disaster-recovery, distcp replacement); Kafka to HDFS (ingest, transform); S3 to HDFS (cloud to on-prem); HDFS to Kafka (data lake to event stream, big data log streaming); Database to HDFS (db offload); Database to database sync (change data capture, customer 360); Kafka to Database sync (ingest, transform & load); Kinesis to S3 (Cloud ingest, transform, & load). You can add your custom logic on transform, alerts, actions, and real-time dashboards to any of these templates. 

Free DataTorrent Enterprise Edition for qualifying startups. Check it out

Free DataTorrent Enterprise Edition for Universities. Check it out!

Brought to you by DataTorrent, creators of Apache Apex.


June 7, 2017
7:30 am - 5:00 pm
Event Category:


Palmer House
17 East Monroe Street
Chicago, US


Next Gen Native Hadoop Big Data Apex Users Group, Chicago