You need to see risk in real time
Data is stuck in silos
Without a single view of borrowers, your experienced credit analysts spend their time gathering data from disparate sources—rather than on credit analysis.
Customers are assessed in isolation
Transaction data is vital—but often goes unused. And without it, it’s impossible to understand your customer’s position in their wider ecosystem and supply chain.
No access to real-time risk
Customers expect on-demand services, which requires rapid decisions. But if you can’t see risk in real time, you can’t make these decisions quickly.
Make faster lending decisions
Our platform generates context around borrowers to create a complete, single view of each business you work with, their corporate structure and supply chains.
It uses any internal and third-party data source. So you can integrate your customer and risk data with transaction data, account and product information—even accounting software APIs.
Using dynamic entity resolution and network analytics, we can underpin your credit risk modelling with context and help you make more informed lending decisions.
Contextual Decision Intelligence changes the way you makes decisions.
faster resolutions for analytics cases
single borrower view
Add context to credit risk
Develop your credit risk models by building context around your borrowers to deliver higher accuracy, whether modeling probability of default or providing early warning alerts.
The benefits of CDI in credit risk
Build a complete single view of your customers in real time or batch, react to risks as they occur, understand corporate structures, and automate lending decisions with confidence.
Assess credit risk faster
Save time with automated credit risk modeling and improve how you predict the probability of default.
React to risk immediately
Respond to risks, such as commodity price changes or weakness in the supply chain, as they happen.
Improve your customer base
Use explainable AI to increase the accuracy of your default predictions, onboard the right customers and maximize lending.
Create a single customer view
Bring all your data into one place to see risks and mitigants across the borrower ecosystem.
Automate risk alerts
Dynamic monitoring identifies early warning signs in your borrowers’ ecosystems.
Improve risk data
Overcome the challenge of poor quality data and identify anomalies to improve data accuracy.
KYC, Credit Risk and Customer Intelligence
One platform throughout the customer lifecycle
When you understand your customers inside-out, you can see new opportunities, you can spot hidden risks, and you can speed up information-gathering or onboarding processes.
Quantexa’s CDI platform lets you address these three applications in one place, in a single build, using any data you have access to.
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.