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Cuneiform® Reconciliation

Our platform enables firms to efficiently perform multilateral reconciliation, exception management, and root-cause analysis. Firms can streamline, automate, and enhance their reconciliation processes, saving them both time and money.

Reconciliation is one of the most critical processes for any financial institution. As the number of transactions and regulatory requirements quickly increase, firms must continue to maintain their operational efficiency and mitigate risk. Whether it’s integrating data from different source systems into a central data warehouse or balancing the books, reconciliation remains complex.

Traditional reconciliation involves matching, comparing, and contrasting pairs of records. This process is time-consuming and laborious especially for complex workflows. Firms often have to load their data multiple times, with little to no support for streaming data sources.

Reconciliation: Automated and Streamlined

 

Stream Processing, Data Preparation, and Data Enrichment

The platform supports diverse batch and streaming data sources without pre-processing, regardless of the number of data sources or rules. It processes millions of checks with complex rules in runtimes of mere minutes at a cloud-scale.

 

Multilateral Workflow Matching

Cuneiform Reconciliation supports multi-lateral matching that is fast and efficient to handle multiple workflows involving a large number of datasets and complex rules. Data is loaded just once, and results are automatically collated to generate a consolidated list of exceptions for the entire workflow.

 

Business Workflow Lineage

The solution provides real-time Business Workflow Lineage™, with traceability and auditability of source data. This E2E data quality offers efficient and timely standardization and harmonization of data, leading to more accurate insights and confident decisions.

 

Automated and Streamlined Root-Cause Analysis

With continuous data quality monitoring across internal and external datasets, firms can quickly identify, address, and resolve exceptions quickly and efficiently to eliminate manual processes.

 

Business Value Impact Scorecards for Timely Exception Management

Cuneiform Reconciliation automatically calculates a score and prioritizes each data quality error, in addition to the total business impact of data quality issues across the entire workflow.

 

Machine-Generated Code

Firms can easily use the platform’s self-serve, drag-and-drop interface to dynamically create, configure, and execute reconciliation rules without significant coding knowledge. This allows for reduced cost and faster time-to-market for new controls.

Why should you choose PeerNova and
the Cuneiform® Platform?

Large financial firms are already using our platform to solve some of their complex data problems.

01

Start with one workflow

Getting started is easy. Begin with one workflow and learn as you grow. With our platform you can scale quickly.

02

Deploy quickly

Cuneiform is cloud-native so deployment is fast and easy. You can realize platform benefits in days and get to your ROI much faster.

03

Pay as-you-grow

Forget about upfront costs for good! No hardware requirements, no complicated cost calculations. Pay per seat and select the right tier that fits your business.

“Using the Cuneiform SaaS Platform for data quality, Broadridge is reducing costs associated with onboarding, driving efficiency, and improving time-to-value, while confidently expediting its customer go-live dates.”

 

Danny Green, Head of Post-Trade Processing, Broadridge International

Download our White Paper

Data is one of the most valuable assets a financial institution can have; however, its existence alone does not guarantee success. Data is only as valuable as the business processes, decisions, and interactions it enables.

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Want to see our platform in action?


By leveraging the Cuneiform Platform, you can obtain and use more accurate, data-driven insights through effective data quality monitoring. Learn more about how we can help you with your important tasks.


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