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The C-Suite executives, VPs and Directors of some of the most well-known consumer goods and manufacturing companies have joined us year after year at the event to network and learn from one another.  Will we see you this May 23-25 in Chicago?

In a crowded, competitive market, predictive analytics is emerging as a weapon for retailers to become an indispensable partner in driving profit through world-class insights and analytics. Retailers must harness the data to identify and understand market trends before attempting a strategy to monitor the risk landscape. Only then will you be able to reduce losses and remain competitive. 

Want a sneak peek into Shopping Experience Transformation? Here's a first-hand look at our Sponsor, Treasure Data as they help Muji unify the on and offline shopping experience.

About the Case Study:

"Data is a powerful tool for today’s retailer. The information generated by website visits, customer purchases and store loyalty programs contains rich insights that can be used to drive marketing automation and conduct trend analysis. But retailers often struggle with how to collect, process, and analyze the enourmous amount of data coming from thousands of uncoordinated sources. Even more challenging is performing this analysis at the speed of e-commerce - in time to make a relevant recommendation before the consumer’s attention is stolen away. This was the challenge facing global retailer MUJI when they came to Treasure Data."

About MUJI:

MUJI is a global lifestyle retailer operating an online storefront and more than 500 physical locations around the world. MUJI has cultivated a loyal customer base by providing products with a distinct style mixing simplicity and very high quality.

Treasure Data helps a growing e-commerce platform focus on products over infrastructure

Wish.com’s use of advanced analytics to develop an app with constant user feedback has made them one of the fastest growing shopping platforms in the world. They're currently #2 on App Annie's list of most downloaded shopping apps, just behind Amazon. Thanks to the simplicity of capturing and surfacing data with Treasure Data, Wish uses Treasure Data to collect and process 3.4 billion user events per day from a multi-sided e-commerce platform.

Download the Case Study or request it via email at enquiry@iqpc.com.

Treasure Data and Wish.com Video: Analytics Infrastructure for the World’s Largest Mobile Shopping Mall

Please fill out the form below to view your copy of the sponsorship prospectus. Alternatively, feel free to send your request to Terence.Wu@iqpc.com 

Do you have the ability to combine advanced analytics with human intelligence and business strategy to impact the bottom line and enhance the CX? Check out this preview of the conversation to come at the event. Interviewed are:

• Jonathan Isernhagen, VP Analytics at Kaplan
• Kim Hansen, SVP Marketing and ECommerce at Winston Brands
• Nikki Baird, Managing Partner and Analyst at RSR Research

Present your boss with this customizable letter detailing the reasons you should attend the upcoming Shopping Experience Transformation event and you'll be sure to receive approval to attend. 

Download the report that features Big Data Retail Forum's most valuable highlights, including our keynote speakers, agenda at a glance, and attendee demographics. Plus, see how we're bringing the best elements of the Big Data Retail Forum to the newly named RETAILology this year.

Make your registration quick & easy! Complete the registration form and email it to enquiry@iqpc.com

Thank you for your interest in Shopping Experience Transformation! Please download the 2016 agenda for information on the event's workshops and sessions. If you would like to receive the agenda in your email inbox, reach out to us at enquiry@iqpc.com and we will send you the PDF directly.