ComplianceMay 30, 2016

How a universal data model enables companies to address multiple regulatory requirements & drive profitability

Growing demand for transparency and integrity across all business functions of a company means today’s financial institutions need access to unprecedented volumes of data.

In a new white paper, Wolters Kluwer’s Governance, Risk & Compliance division explores how adopting a universal data model can help companies enhance operational efficiency, drive profitability, and allow business and compliance a clearer view of finance, risk and performance from a business and regulatory standpoint.

Strategic decision-making and single version of truth

Single Version of Truth (SVoT) is the practice of delivering clear and accurate data and information to a company’s decision-makers, in the form of answers to strategic questions. It refers to one single view [of data] that all stakeholders agree is the real, trusted number. The purpose of SVoT is essentially the optimisation of business analytics and reporting. It ensures that everyone is looking at the same numbers; and can interpret it in the same way. Effective strategic decision-making relies upon it.

However, data sourcing, collection, analysis and integration efforts are often costly and complex. Multiple requirements from regulators who may have different needs adds further complexity. Meanwhile, competition from Fintech startups keeps the competitive pressure on.

In the paper, authors Richard Bennet and Richard Reeves explain how companies can build towards a ‘Single Version of Truth’ and meet the challenges of addressing multiple regulatory requirements while striving for increased profitability.

“The absence of a unified, consistent data model that underpins all data used for regulatory reporting purposes makes it difficult to achieve consistency in reporting, and in supply of data to disparate business lines,” says Richard Bennett, co-author of the report and vice president, Regulatory Reporting for EMEA at Wolters Kluwer. “By understanding their data and quickly accessing required information, ensuring consistency of assumptions, structure and calculations, firms can shift toward a common analysis approach, ultimately creating a ‘single version of the truth’ across the enterprise. This, in particular, will be key for requirements related to risk data aggregation – such as BCBS 239.”

“What’s clear is that reconciliation of data used for risk, finance and reporting necessarily requires a data model that solves both regulatory and business needs of the bank,” adds Richard Reeves, co-author of the white paper and vice president of Strategy for OneSumX at Wolters Kluwer. “From an operational standpoint, a universal data model and corresponding reporting mechanism improves business agility. Achieving greater responsiveness in dealing with external supervisory requests, while attaining agility in internal decision-making processes, is a double-win that enables financial institutions to embrace best practices and realize the benefits of improved decision making and competitiveness.”

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