On-Demand Risk Analytics: A New Generation
Short Takes...on Analytics
|Posted by Vivek Katyal, Principal, Deloitte & Touche LLP|
It’s a well-known cliché that you can’t manage risk if you can’t measure, analyze and forecast it. Yet, very few organizations know—at any instant—what their risk exposure is. In today’s highly regulated environment and volatile economic times, companies struggle to produce the reporting and analysis needed to comply with regulatory standards, leading to concerns that they may not have the information needed to manage their risk. Inadequate risk measurement, modeling, and analysis in large companies (such as banks and other financial institutions) can cause systemic risk in the market, placing a higher responsibility on these organizations. It is no longer possible to quantify “too big to fail.”
On-demand risk analytics adopts the kind of technology solutions that process data as it arrives. This new generation of risk analytics architecture means that information management, performance enhancement, and advanced analytics can be built into the process from the start—driving improved governance, quality, and ownership. Having the capability to perform on-demand risk analytics means:
- Updating exposures, prices and market data in real-time
- Having increased flexibility to perform rapid “what if” scenario analysis to model risk exposure
- Providing the granularity to drill down into the risk analytic results
- Delivering up-to-the minute analytics to decision makers to analyze the impact to business strategy
Do you have the information you need to manage risk? Can you analyze your data right away? Better risk analytics help firms gain a competitive advantage both by delivering the timely and high quality risk information that regulators are increasingly demanding and by providing the transparency into business investments, risk exposure, and the costs of potential revenue opportunities.
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