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Financial Institutions collect a large amount of customer information for a wide variety of strategic and regulatory reasons.

Incorrect, incomplete or duplicate data is often introduced as a result of human error which may open the door to unintentional fraudulent activity or regulatory infractions.

Due to the fact customer data enters financial institutions through a variety of channels, it can be very difficult to monitor the quality of said data. Therefore the implementation of data management and quality software are essential.

Key data management challenges in the Finance sector:

Indicating if data is compliant with financial regulatory bodies and standards
Demonstrating: data profiling, data provenance (lineage), report monitoring and escalation procedures
Creating a single customer view for KYC initiatives
Reducing manual touchpoints for enhanced efficiency and automation
Improving Anti-money laundering (AML) initiatives
Gaining higher quality data set to fuel Business Intelligence, AI and Machine Learning initiatives
Reducing operational costs due to poor data.
Maintaining accurate data for reporting purposes.
Executing successful data Integration/migration projects.
Mastering your customer data to create a system of record which may synchronise with external systems, these can be cloud based

Featured solutions:

Customer data deduplication, standardisation and validation at point of data capture or in batches
Data management platform can provide identification and flagging of unwanted contact data such as opt-outs
Suppression of datasets including deceased and movers
Duplicate detection and merging for a single view of your customers
Applying a data management platform, can provide enrichment of your data
Ongoing data quality management
Data management tools for Integration & Migration projects

Featured Products:

Studio Logo

DQ Studio™

A complete solution for data management including data integration, data migration, data quality improvement, data replication, business rules, process automation, machine learning, and more.

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DQ for Dynamics™

An integrated solution which allows users to find and prevent duplicates, apply a wide array of data improvement functions and master their data all from within your Dynamics CRM.

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DQ on Demand™

An on demand solution which allows developers to rapidly deploy our wide array of data quality improvement functions, switch data providers with ease and enhance their data and all under one roof.

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