Reducing 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 the 10x growth of their catalog without issue.
Products & Services
DataStax EnterpriseIndustry
Retail/eCommerce/Wholesale
Location
Worldwide
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 the first half of 2018
30% Increase
in stock price after deployment in 2018
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 the 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 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 video, 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.
