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Data Reconciliation

Data-centric reconciliation—the next frontier.

Operational control processes are embedded within every area of an organization, from trading and core operations to financial and regulatory reporting. Seemingly minor data integrity issues can cause significant operational and financial risk. However, this is just the tip of the iceberg when it comes to the value that reconciliation can provide. Organizations need to take a holistic data-centric approach to their reconciliation model to reach the next frontier of business value.

Each internal reconciliation process creates a new and original dataset. An organization focused on data-centric reconciliation recognizes and cultivates this value.

Reconciliation model stages

As a result, data-centric reconciliation can serve as the catalyst for a new way of approaching how data is stored, accessed and analyzed enterprise-wide. This new proactive approach to applying data analytics to reconciliation data has the power to shift the fundamental value proposition from cost cutting to new financial value creation. In addition to providing a holistic view of data, a centralized reconciliation platform can reduce costs, minimize or even prevent breaks, and allow organizations to meet evolving regulatory requirements.

“This new proactive approach to applying data analytics to reconciliation data has the power to shift the fundamental value proposition from cost cutting to new financial value creation.”

Read Pathways to Operations Control Value WHITE PAPER

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