Dynamic Entity Resolution
Connect data wherever it is, regardless of quality to create a single, complete view. Ingest once and resolve dynamically in real-time or in batch, for any number of use cases, without duplication.
Find related entities that can’t be found with traditional matching approaches
Dynamic entity resolution connects billions of data points across internal and external data sources in real-time or batch, to create a single, enterprise-wide view of people, organizations, places and more.
World-class approach built for the most demanding business needs
In fraud and financial crime, criminals intentionally manipulate their details with incorrect data, or provide as little information as possible to avoid detection. Our entity resolution was built to solve these key challenges from the outset – meaning that by design, it handles poor quality data with exceptional performance.
So our technology is robust for any business use case – able to bring together data from disparate systems and overcome any data quality issues faced by your organization.
Why use our entity resolution?
Sometimes you need throughput, sometimes immediacy or just pure accuracy. Our entity resolution can be deployed both batched-based or dynamically, from a single platform. With a single configuration that works for multiple use cases and deployment models.
One size doesn’t fit all. You need different entities for different use cases and different risk appetites – and to tailor strictness and fuzziness dynamically.
With our entity resolution you can ingest data once and scale across your business for multiple use cases, without replicating data – handling even demanding areas such as financial crime.
- Build entities in real-time using specific data sources, attributes, and fuzzy matching for a use case.
- Review how entities have been resolved and interactively change resolution criteria in our user interface.
- Use APIs to resolve dynamically with configurable resolution criteria which can be varied from one call to the next.
Our resolution algorithms deliver unparalleled accuracy. For internal and external data, across billions of records, even in the face of data quality issues and criminal identity manipulation. With a match rate of 99% in an independent evaluation.
- Analytically tuned match key and threshold configuration, enhanced by advanced AI and machine learning.
- Models developed using global data for country-specific accuracy.
- Market-leading out-of-the box global cleansing, parsing and resolution.
- Open, flexible framework for tuning to your risk appetite and policies, and for custom logic and entities.
- No black-box matching: resolution models are explainable for regulatory compliance.
Adding sensitive data to batch-built entities pollutes them, letting people infer what they shouldn’t see – even if raw data is masked. Trying to pre-calculate every possible combination of permissions requires infeasible data duplication and processing. But leaving data out for security reasons leaves value on the table, and risk unaddressed.
Our dynamic entity resolution addresses this issue and supports complex data security models for enterprise-wide users within a single, consistent configuration.
- Resolve entities on the fly to reflect user permissions.
- Mask data users shouldn’t see, or eliminate all traces.
Benefits of our entity resolution
Unify your data and overcome data quality issues to create a true single view.
Reduce false positives by up to 90%.
Find related entities that can’t be found using traditional matching approaches.
Models tuned based on our work with Tier 1 organizations across 56 countries.
Scale to tens of billions of records with unparalleled performance and accuracy.
Support any use case with on-demand dynamic entity resolution.
Build stakeholder confidence with transparent and explainable entity resolution models.
Configurable data preparation for rapid data ingest.
Enterprise-strength with open and configurable APIs.
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.
Make faster,
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.
Speedy time-to-value
Operationalize your data in a matter of months – not years.
Overcome data
quality issues
Use entity resolution and data volume to overcome missing or poor quality data.
Research report
How entity resolution is powering next-generation financial crime detection
In Aite’s 2019 report, find out the ten key capabilities essential to enabling next-generation financial crime detection, and see how our technology measures up compared to other vendors.
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