Traditional MDM approaches can’t meet today’s needs
Enterprises have spent thousands of hours and millions of dollars trying to create a single view of their customers. But it’s never scaled to serve the people making operational decisions on the frontline.
So much time and resources are spent replicating batches of data for new use cases, manually validating data quality and transforming data.
Traditional MDM approaches just weren’t built for the scale and dynamism needed today. Organizations want to go one step further and understand complex customer structures or their customers’ networks.
Your data is worth so much more
Whether you have an existing MDM program that needs optimizing or you’re about to start one, we make sure your program scales to meet the needs of everyone in the business.
It’s a phased, modular approach to MDM, letting you prove value in one use case or business area before deploying across your entire organization.
With Quantexa, you can take a pragmatic journey to a full MDM implementation—with fast time-to-value as well as being future proofed in supporting graph views of your customers.
Improve your MDM program
Connect all internal and external data to create a complete, joined-up view of your customers and, if you need – their networks too.
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Ingest and enrich
data sources
Ingest customer data from across your organization, then use our data packs to accelerate third party sources, like global corporate registry data. Add product or transaction data to further enrich your profiles, extending the capability to provide a customer data platform.
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Create an operational
single view
Add third-party data to enhance your view of your customers. Then easily search and browse through your data and connections. Access via an API as well as our user interface.
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Roll out across multiple
use cases
Use this data to support automated risk decisioning, tackle financial crime, identify upsell opportunities—you name it. Detect data quality issues too, and implement continuous improvement.
Our platform uses dynamic entity resolution, network generation and advanced analytics to support a range of use cases
The benefits of our approach to MDM
With a holistic view of your customers and their relationships and situations, you can identify quality prospects, deepen customer relationships, and reduce churn.
Use best-in-class entity resolution
Find connections between customers and organizations that can’t be found using traditional matching approaches.
Guarantee security
Rely on a full bank-approved security model, with options for data masking and row-level security.
Connect via APIs
Access platform technologies—like data and entity matches—using APIs.
Work in dynamic or batch modes
Support multiple architectural styles and run entity resolution as regular batch or dynamically on-demand.
Increase the value of data science
Shift your data scientists onto value-add work and let the platform handle data matching, single views and network generation.
Explore data with a rich UI
Search and browse all data with our extensible user interface, and get full visibility into how data is connected and the network relationships around those entities.
Customer grouping
Automate management of multi-national customers using network generation to maintain cross border connections between legal entities.
Missing link detection
Automatically find potential links between records for insight or remediation – connecting accounts and customers from across lines of business.
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.
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