Existing KYC processes are manual, expensive and isolated
Reliance on a single snapshot
KYC reviews collect static, time-limited data, reducing what you know about a customer to a specific snapshot in time, resulting in missed risk between KYC reviews.
Highly manual processes run up huge costs
Manual onboarding, refresh and remediation processes require big teams, driving up the cost of compliance and resulting in poor customer experience.
Growing pressure from regulators
KYC regulations increasingly require you to understand even more about your customers and the context in which they operate.
Enhance KYC using dynamic customer context
A contextual view of your customers, suppliers and counterparties helps you make better, faster decisions throughout the customer lifecycle.
Our Contextual Decision Intelligence platform:
- Automatically generates a customer’s KYC single view and network context
- Continuously monitors data to detect changes and risk triggers within the customer’s network
- Significantly reduces the need for ongoing due diligence reviews‚ while improving risk management
- Improves customer experience by minimizing unnecessary customer outreach
up to 75% of KYC profiles
Scale to billions of data records
How contextual KYC works
Upgrade your KYC process to a dynamic, contextual approach that automatically updates in response to data and behavioral changes that could flag risk.
The benefits of adding context
Identify customer risks as they emerge, increase operational efficiency, meet changing regulations, and enhance customer experience.
Reduce time and effort spent on periodic reviews
Update your customer’s KYC profile and their context in real time, continuously.
Uncover hidden risk
Use a customer’s network to find hidden areas of risk, including connected parties or complex ownership structures.
Increase analyst efficiency
Save significant amounts of time in risk assessments and manual due diligence during onboarding and periodic reviews.
Find risk in real time
Constantly reassess your customer for financial crime risk using their changing context.
Enhance the customer experience
Reduce end-to-end review and onboarding time dramatically.
Reduce processing time
Populate KYC data automatically and spend less time manually collecting information.
Integrate easily and quickly
Use an API to integrate into your own workflows and models for simple onboarding and reviews.
Consolidate and cleanse unstructured data
Increase efficiency and maximize value from external data sources.
Why use the Quantexa platform
Build once, use many, ingest to create a single view with networks
Apply your data to multiple use cases—without replicating data sets.
more accurate decisions
Use context to improve decision accuracy across the organization, find new opportunities and uncover risk.
Scale to billions of records
in batch or real time
Built on proven, scalable open source technologies like Hadoop, Spark and Elastic.
Future-proofed open architecture
Integrate seamlessly into your existing IT ecosystem, with flexible deployment options: native, or containerized for private and public cloud.
Ensure data transparency
Use explainable data linking, advanced AI and decision models for regulatory compliance.
Keep your data secure
Rely on granular security levels for dynamic control, with all activity audited.
Operationalize your data in a matter of months – not years.
Use entity resolution and data volume to overcome missing or poor quality data.
Get the latest thinking, advice and opinions
Creating Value For The Enterprise Using Data
In this episode, Vishal Marria, CEO at Quantexa, speaks with the Chief Data Scientist at Dun & Bradstreet, on overcoming common data challenges, digital resilience, and creating enterprise value using in AI and data & analytics.
How Danske Bank Is Adopting Data and Analytics Technology
To maximize the value of data, enterprises need the right IT infrastructure in place. In this episode, Bo Svejstrup, CIO at Danske Bank discusses resolving legacy data challenges, improving collaboration between business and IT, and the future of cloud adoption.
How Allianz Is Transforming Using Tech
Quantexa speaks with Allianz CEO to discuss the challenges of adopting technology across the enterprise, the role of data in customer-centricity, and leading transformation in the insurance industry.
New Risk Factor Guidelines to Strengthen Financial Crime Detection
The updated European money laundering and terrorist financing risk factor guidelines highlight taking into account “wider, contextual factors.” Find out how contextual decision intelligence can ensure enhanced risk detection and due diligence measures.
Deloitte and Quantexa Partner to Tackle Global Illicit Finance and Economic Crime Risk
Deloitte will utilise Quantexa’s Contextual Decision Intelligence (CDI) platform to enable its clients to leverage technology and analytics as part of robust Economic Crime Governance and Risk Management Frameworks.
QuanCon 2021: Meaningful Data for Trusted Decisions
QuanCon 2021 Virtual explored compelling thought leadership from the Altimeter Group and Accenture, knockout presentations from State Street and ABN AMRO, and an in-depth show and tell on Quantexa’s new capabilities.
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See how our Contextual Decision Intelligence platform helps you better understand your customers, enables data-driven decision making, and speeds up your lending decisions.