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Key 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 to fuel 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

Featured solutions:

Customer data standardisation, cleansing and validation at point of capture or in batches
Identification and flagging of unwanted contact data such as opt-outs
Suppression datasets including movers and deceased
Duplicate detection and merging for a single view of your customers
Enrichment of your data
Ongoing data quality management
Tools for Integration & Migration projects

Featured Products:

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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 Perfect & Merge™

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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The best way to learn more about how our solutions can help is to let us know more about your data challenge.

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