Powering Banking Portal with Hadoop

Optimizing a Banking Portal with Hadoop

A leading U.S. company providing information management services in finance, investment, and banking, needed to solve some key technical problems affecting their customers’ satisfaction - in their industry, customer satisfaction is vital, but highly fluid.

Business Challenge

Maintaining customer satisfaction is a top priority for any business, but often in today’s increasingly competitive service markets, it’s a tall order. Luckily, with prudent application of the right technologies we can create solutions to control key value drivers for customer satisfaction, such as: web service response time (WSRT), and time to launch useful new features and value added services.

Our client experienced problems with WSRT when rolling out new features and this led to decreasing customer satisfaction. We made the following recommendations:

  • Control product quality and performance at all stages.
  • Develop an automated product and server monitoring system which analyses system and application metrics as well as product health.
  • Implement a fully automated solution

Project Description

The concept for this solution was to provide an easy method for adding availability and performance monitoring tools; from development to production phases. As this would be a modular system, each module can be easily replaced by a better one should the need arise.

The system was designed to be a multi-layer, highly scalable platform with the ability to detect anomalies in all modules within production, development, and QA environments. Our solution included the following integrated features: traffic forwarding, metrics collection and aggregation, anomaly detection, and notification and visualization.

Delivered Value

Datamart successfully delivered a new, ready-to-use platform monitoring system with all of the required features and capabilities. Implementation of our solution conferred the following benefits:

  • Performance increased by 26% in three months
  • New functionality could be implemented twice as fast
  • New testing technologies yielded more reliable results
  • Costs were significantly reduced.