Is your organization truly data-driven?
Data is distributed across different sources and systems with limited capabilities to connect it into a true single view.
Data is currently not serving its purpose to enterprise stakeholders – it is not available in one place for operational users, and it does not provide the context needed for effective and accurate decision making. How can you run your operation if you don’t trust your data?
Data management takes up too much time and resources and is still achieving only simple goals.
Quantexa’s software empowers your data management journey with the full context around any data
What can you achieve with Quantexa?
Contextual MDM
Effectively control and maintain your master data with high accuracy matching and true single views. Dynamically maintain your most valuable records based on data from across source systems.
Entity Data Quality
Find duplicates and continuously improve data quality at the point where records are joined together. Measure and visualize to find the most impactful quality problems that need addressing and drive organizational behavior.
Data Fabric
Enables a single platform to serve joined-up data across the enterprise.
Separately ingested data sources can be dynamically queried as graphs or entities.
Data Migration
Save time and cut costs by fast-tracking your data migration, joining legacy data into a single view, and creating migration profiles.
Corporate Hierarchies
Automatically create hierarchies – corporate, legal, credit, sales –using internal and external data sources. Use to maintain an accurate and up-to-date master record of your hierarchies.
Our platform uses dynamic entity resolution, network generation and advanced analytics to support a range of use cases
Why choose Quantexa’s Data Management solutions
Use best-in-class entity resolution
Find connections between customers and organizations across use cases that can’t be found using traditional matching approaches.
Guarantee security
Rely on a security model proven in global Financial Institutions, with options for data masking and row-level security.
Connect via standard APIs and streaming
Access data, entities and graphs 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 that drive accurate operational decisions.
One platform for all your data needs
Optimize your IT estate and improve ROI with a strategic platform that effectively addresses all your data needs. Based on commonly used technologies such as Spark.
Create a data-driven enterprise
Use scaled data to provide new data solutions that deliver outcomes required by business, e.g., Risk and Compliance – better customer experiences, higher growth, improved risk management and fast-tracked digital transformation.
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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