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March 07, 2016
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How Macy’s – Big Data Leader – Innovates for Scale, Speed and Simplicity

How much time will shoppers spend online versus in stores? Are online shoppers mostly men or women? How old are they? Who are they shopping for? How do the answers change based on weekends, weather, holidays and geographic location? Utilizing this and so much more, retailers can tailor advertising efforts and specials to target the right shoppers at the right time to improve the customer’s shopping experience and increase the likelihood that they will spend time and money on the company’s website or in its stores.

For example, online advertisements on Cyber Monday can be geared toward women shopping for their family at Christmas. Or in-store ads can target the shopper that is more likely to spend time in the stores. In this way, advertisements are more personal – driving shoppers to feel more comfortable with the retailer.

Macy’s is a well-known user of big data to improve its customers’ experience and uses analytics to be very targeted and strategic when it comes to customer engagement.

View webinar (on-demand) where Macy’s Seetha Chakrapany, Director of Analytic and CRM Systems, shares his perspective on modernizing data architectures to enable business intelligence on Hadoop. Hortonworks Eric Thorsen, Vice President, Industry Solutions, Dan Kogan, Director of Product Marketing for Technology Partners at Tableau will also be on hand to share trends and insights from the BI and Hadoop sides of the equation.

Watch the webinar “Blueprint: A Modern Data Architecture for BI on Hadoop”


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