Retail Fraud Analytics Processing Company, an industry leader in retail transaction optimization solutions at the point of sale and point of return. They help retailers deliver a better customer shopping experience, while preventing retail fraud/abuse and protecting the bottom line.
The Organization has an SLA with its clients, requiring them to process and register transactions within one hour, in order to catch and prevent retail fraud activities. The Analytics environment that supports this process was plagued with inefficiencies leading to long processing times and missing SLA deadlines.
Destiny evaluated the Analytics environment and critical functions needed to enhance and eliminate the long processing times. A new MPP (Massively Parallel Processing) solution was designed and set into action. Analytics jobs went from 69 hours down to 15 minutes in the new environment.
This company can now process and register transactions within the specified time constraints, eliminating costs associated to missing SLA deadlines, and actively reporting fraudulent activities to its clients.
A Fortune 500 Retail Anchor Store Organization, of domestic materials, primarily selling goods for the bedroom and bathroom, as well as kitchen and dining room.
The Business’ IT department was predominately centered on Teradata appliances. The environment needed to be expanded to accommodate the large amounts of analytics processing. However, the cost of such upgrades was prohibitive, keeping Analytics processing at inefficient levels.
Destiny Corporation evaluated the Analytic environment and analytics capacity. The IT appliances were evaluated and a cost efficient MPP solution was tested. This solution brought tremendous cost savings along with ease of IT maintenance. Analytics processing was fine-tuned with the new MPP environment and analytics processing times went from 14 hours down to 55 minutes in the new environment.
The new configurations and customized analytic environment drastically reduced IT spend as well as reduced the amount of Analytics processing times, allowing more time and resources to be spent on analysis.