Oracle introduced Oracle Retail Customer Analytics, a new business intelligence solution designed to help retailers better understand what drives their customers’ purchasing decisions. The tool leverages existing customer data as well as several pre-built dashboards based on roughly 100 key performance indicators. Oracle Retail Customer Analytics also is pre-integrated with other Oracle and third-party applications, and can be implemented alone or in unison with these applications.
“The key to improving the customer experience is to understand the customer,” said Greg Girard, Program Director, Merchandise Strategies, IDC Retail Insights. “Analytic solutions that help retailers gain insight into their customers’ buying patterns lay the foundation for a deeper understanding and make it possible to create a personalized shopping experience while optimizing profitability.”
“Oracle Retail Customer Analytics takes the custom-build programming off the retailer’s plate,” added Mike Webster, SVP and GM at Oracle Retail, “and gives merchants, category managers and pricing analysts the tools to analyze who is buying what and when.”
Oracle Retail Customer Analytics is the latest solution within the Oracle Retail Analytics family of applications and complements Oracle Retail Merchandising Analytics, which provides visibility to item and store performance, inventory turn, sales and profit trends, and potential out-of-stocks. Oracle Retail Analytics applications are optimized to run on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud, and are designed to deliver the extreme performance and scalability required to accommodate high data volumes common to retail environments without sacrificing depth or speed of analysis.