Armanta in Financial Services

The Financial Services industry has always been an information business.  So it makes sense that the firm with the most information and the best and fastest analytics is at a significant advantage. This competitive factor has always driven financial services firms to gather as much data as they can access.  But this has stressed even the largest data centers. Firms continue to look for better and more cost effective solutions for dealing with growth—a data solution alone is not enough. They also need to apply this analytic capability across a vastly expanded “datascape” which has put additional stress on their computational capabilities.

To meet this challenge, financial services firms need an end-to-end, flexible business intelligence and analytics platform that enables a single view of all data and enables the ability to accurately measure risk and uncertainty on demand.  Additionally, the platform must be high speed and easily customizable to the unique requirements of each customer.

Introducing Armanta

Armanta’s analytic platform for Financial Services provides the flexibility and customization of an in-house developed solution but costs less and deploys faster.  The platform significantly reduces the effort involved in implementing highly-customized technology solutions resulting in more time being spent on the proprietary nature of the business process.  Armanta functionality includes:

  • A rich reporting, visualization and analytics framework.
  • A high-speed, massively parallel, in-memory analytic engine for operational, descriptive and predictive analytics.
  • A high-speed, massively parallel, in-memory visualization engine that scales with growth in the number of end users.
  • Sophisticated load balancing that makes the best possible use of available resources and guarantees a consistent end user experience.
  • A data virtualization and modeling layer that gives a holistic view of all the data in the enterprise and beyond.
  • A patent pending Sandbox capability for “what-if” analyses and collaboration.

The platform is currently used across a wide variety of financial services applications including risk management, trading, wealth management, portfolio management, and hedge funds.