Retail, eCommerce & Consumer Products
3 of the top 5 retailers run Cloudera.
“One of the challenges retailers and e-commerce providers face today is maintaining customer loyalty while reducing email opt-outs. At Macys.com, we collect and analyze large amounts of data from our customers 24x7. It’s important to have a 'single view' that ensures we can offer the best personalized customer care possible, as if actually in-store.
Both best-of-breed technologies, we chose Cloudera’s Platform for Big Data for its unparalleled Hadoop management and SAS analytics systems for their deep insight into our data. These combined technologies make our customer interactions more aligned to their preferences which leads to improved satisfaction. Ultimately, working with these two industry leaders allows my team and me to have more time to focus on more strategic initiatives through automated processes instead of manually collating reports for our business stakeholders.”
-- Kerem Tomak, vice president, analytics, Macys.com
360-Degree Customer View
Retail data is often stored in silos, so it's difficult to correlate data about customer purchases, marketing campaign results, and online browsing behavior. The retailers that figure out how to bring all that information together into a single, multi-channel view will come out on top.
Cloudera makes it easier for retailers to integrate online and offline customer data for a 360-degree view of each customer.
Loyalty Program Management
The internet has made it easy for consumers to search for a particular product and find the lowest price available instead of basing purchase decisions on store preference, brand or locality. But by harnessing Big Data to offer focused, relevant promotions and to engage in social interactions with customers, today's retailers can establish strong customer loyalty.
Hadoop provides a scalable, cost-effective platform that can easily ingest multi-structured data, and Cloudera ensures its successful adoption and ongoing deployment.
Merchandising & Supply Chain Analysis
Traditionally, retailers with multiple stores use a data model to forecast overall demand for each SKU and distribute that inventory between stores. But this methodology doesn't take into account detailed information such as geography, demographics, local trends and events.
Today's leading retailers are leveraging Big Data to capture store-level transaction data over long periods of history to drive more accurate merchandising and supply chain decisions at the store level. They rely on Cloudera's open-source Hadoop distribution, management software and expert support to implement an effective Big Data platform.
