With 40 years in the banking marketing industry, this global organization designs and markets comprehensive customer engagements and loyalty solutions. These services enhance the relationship of millions of consumers with the largest and most respected companies in the world.
A number of issues had begun to emerge with the company’s IT infrastructure. Newly generated customer campaigns took two days to process on their UNIX environment, and the ability to provide accurate and timely services to clients had become increasingly difficult.
We collaborated with management to ensure a thorough understanding of their challenges and objectives, evaluating the infrastructure. Taking into consideration requirements and time constraints, a new MPP (Massively Parallel Processing) environment was designed and implemented. Analytics processing was enhanced and jobs decreased from 11 hours to 11 minutes.
The new environment allows this organization to provide comprehensive customer marketing materials in less time. Analytics processing now takes minutes to complete, and campaign materials can be delivered to clients on a timely basis.
This leading global information services company provides data and analytical tools to clients and helps businesses manage credit risk, prevent fraud, and automate decision-making. In addition, they help consumers check their credit reports and scores, and protect against identity theft.
This company relies heavily on statistical information and analytics processing in order to assist their clients. Their users stored analytic datasets on SAN and required additional space. The cost per terabyte to expand on their existing environment was cost prohibitive, making analytics processing inefficient.
Destiny Corporation utilized their knowledge of analytics processing and efficient IT configurations to evaluate their current environment. We designed a new MPP (Massively Parallel Processing) solution well within the company’s cost constraints. This new MPP environment allowed for additional analytics processing and faster processing times. Jobs decreased from 14 hours to 8 minutes.
The organization can now spend less time processing data and more time doing actual analysis.