From Silos to Real-Time Insight

Leading Practices for Financial and Risk Measurements Using IBM's Core Technology and SAS Risk Solutions.

Banking and Financial organizations throughout the world now face highly complex challenges in both extracting risk knowledge from a sea of real-time and near-time data pouring in from a wide variety of sources, and in processing that data at the blazing speeds required to remain competitive now and into the next decade. Financial organizations without well-defined risk management objectives have two significant disadvantages - first, they lack the ability to discover, analyze, and act quickly; and second, they use inaccurate and multiple versions of risk data. At the same time, transaction volumes are ballooning; the lines of business managed are multiple and unique; regulators are governing with increased scrutiny; and already burdened staffs face resource and budgetary constraints that isolate them from the rest of the organization and from access to industry leading practices.

Today's financial risk management domain seamlessly weaves business strategy, decision-making, processing, and control through the fabric of the organization. This paper covers the technology combination of IBM, winner of the RiskTech100TM core technology category, and SAS, overall winner of the RiskTech100TM rankings. Their combined solution delivers on leading practices and operational capacity necessary to leverage the financial and risk measurement platform investments.

This whitepaper also addresses cost savings achievable by automating and optimizing the risk management process of developing, deploying, and operating individual risk solutions to that of managing the integration of platform, applications, and data flows within a common environment.

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