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Prometeia deals another blow to Big Data with Hadoop

Prometeia, the global leader in Risk Management consulting and software solutions, announced that its ERMAS 5 suite can now be powered by the latest Hadoop technology (Hortonworks & Cloudera) to improve the performance of integrated balance sheet risk analysis. The growing volumes of banking data and the tight reporting deadlines imposed by regulators represent a

  • Editorial Team
  • February 16, 2017
  • 2 minutes

Prometeia, the global leader in Risk Management consulting and software solutions, announced that its ERMAS 5 suite can now be powered by the latest Hadoop technology (Hortonworks & Cloudera) to improve the performance of integrated balance sheet risk analysis.

The growing volumes of banking data and the tight reporting deadlines imposed by regulators represent a major technological challenge for Risk vendors: highly detailed analyses, even at single transaction level with multiple stress scenarios over billions of input deals, must now be performed on a daily basis.

Business and regulatory needs have led Prometeia to experiment a new and unique formula in the Risk technology landscape: the combination of the performance and scalability of ERMAS Suite with the innovative features offered by Hadoop. The capabilities of the new infrastructure (like Spark) allow to:

  • drastically reduce the overall data processing time and improve the bank’s ability to support the day-to-day decision making;
  • run daily calculation processes in a short time, according to the specific needs of the customer;
  • manage efficiently the high data volume originated by disaggregated output, even detailed at single-deal level, including the possibility to re-run overnight processes in the case of errors;
  • apply multiple stress scenarios over very large input datasets.

ERMAS users will benefit massively from the new cutting-edge technology, especially when coupled with high performance computing and Big Data management. The frequency and number of scenario analyses can dramatically increase, consistently with the reduction of processing time and system unavailability. In parallel, the availability of open-source technologies will also drastically reduce the total cost of ownership (TCO) of ERMAS platform, if compared to other Big Data solutions offered in the market, like the MPP databases.

“We intend to deeply innovate the market of Risk solutions with this new generation of high-performing, scalable and cost-effective ERMAS applications: they can perform highly detailed analyses over huge datasets at a very competitive price” comments Massimo Pedroni, Head of International Business at Prometeia. “With such a fantastic speed of data processing, the time factor is not more an issue for risk managers. This was something unbelievable until some years ago, when risk solutions were entirely based on MPP databases”.

ERMAS, Prometeia’s new generation of value-centric Risk solutions, is used by over 200 clients in more than 20 different countries to support their critical decisions and to comply with local and international regulatory requirements.