macys

Macy's Reduces Catalog Data Refresh Time by 6x

Facing a heavy increase in traffic for its ecommerce site and omnichannel catalog, Macy’s needed something far more powerful and flexible than the relational database it was using. DSE allows them to handle 10x growth of their catalog without issue.

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6x Reduction in catalog data refresh time (from three hours to less than half an hour)

50% Growth in sales of Macy’s app in first half of 2018

30% Increase in stock price after deployment in 2018

The Challenge

As one of the largest and oldest department store chains in the world, Macy’s needed to grow rapidly out of its storied history into a modern-day juggernaut that could handle massive volumes of data for its quickly growing ecommerce engine and online store. It was able to achieve this with DataStax Enterprise.

The Solution with DataStax

Watch this on-demand webinar, to learn how Macy’s, a leading American department store chain founded in 1858 with over 750 stores in 45 states, Guam and Puerto Rico is transforming their customer experience with DataStax Enterprise. Peter Connolly, Senior Architect of Macys.com will share his insights on:

Journey into NoSQL
Approach to determine the right technologies to power cloud applications
What led Macy’s to select DataStax Enterprise
Outcomes that transformed the customer experience

One of the things I don't worry about at night anymore is a 10x growth in the catalog. We can easily handle that. It's just not a problem technically or for the business. If they want to grow the catalog, we can do it. And we can do it fairly inexpensively. I don't think that's necessarily the case with proprietary relational technologies.

Peter Connolly
Senior Architect, Macy's