Your data doesn’t reveal the bigger picture—yet
Decisions – manual or automated – can’t use all of your data
Variable quality, siloed data is difficult to join together to truly reflect real-world entities and their relationships. Teams have to manually assemble and analyze the data every time to see the full context.
Previous investments haven’t scaled
Single view solutions can’t handle data lake volumes, are often use case-specific, don’t provide the full network view of context and are hard to integrate, quickly becoming replicas of already siloed data.
Decision accuracy needs context
Analytical models without context are inaccurate, lack transparency and explainability, so operational decisions can’t be automated with confidence.
Download IDC’s latest Infobrief to learn more:
Achieving Greater Business Value Through Data Using Decision Intelligence Based on Context
Better decisions start with better context
Contextual Decision Intelligence (CDI) changes the way millions of decisions get made.
The more data you have, the more context you generate—no matter what state it’s in, where it lives, or if it’s in batches or streams.
CDI creates a single repository that scales across your business. It dynamically tailors connected views of your data to multiple use cases—without replicating data. You can be confident that models are operating with the full context to automate decisions. And where a model cannot finalize a decision, it can be referred to an operational user with the context available to support decision making.
Change the way you make decisions
With CDI, you can:
Make millions of operational decisions more accurately.
Spot risks people would’ve otherwise missed with fewer false positives.
Identify better, high-value opportunities, faster.
Scale to tens of billions of records.
Overcome poor data quality and inaccurate decision models.
Reduce costs through improved efficiency and effectiveness.
Run a leaner, smarter operation, with more enhanced, real-time decisioning.
Adopt greater levels of automation with a transparent approach to AI.
Contextual Decision Intelligence turns data into a high-value, strategic asset
The technology powering the platform
Dynamic entity resolution ingests internal and external data once and creates dynamic single views for all your use cases.
Network analytics and generation reveals connections between billions of records for enhanced decision making or presentation as a knowledge graph to your people.
And flexible and transparent analytical models – based on intuitive features and patterns that your experts can contribute to and recognize – give you the confidence to automate more decision-making.
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
The state of AI in financial services
Read about how senior business and technology managers around the world are using AI in their financial institutions: from what they’re investing in and how they’re seeing ROI, to the challenges they encounter and use cases they focus on.
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.
Solve your biggest data challenges with CDI
See how our platform helps your organization make millions of operational decisions more accurately by turning internal and external data into context.