Teradata and FICO Partner to Reduce Fraud, Improve Business Outcomes

3rd July 2023

New Agreement to bring AI-powered decision automation and optimization to financial services, healthcare, retail, manufacturing, and travel/transportation.

Johannesburg- Teradata (NYSE: TDC) and FICO, the analytics software provider (NYSE: FICO), announced they plan to bring to market integrated advanced analytic solutions for real-time payments fraud, insurance claims, and supply chain optimization. Bringing data, analytics and insights together in one environment streamlines the development of solutions for use cases across industries, speeding time-to-delivery and making them available for joint customers sooner. The resulting solutions are part of a new global relationship between the two companies, and are expected to deliver reduced costs, improved profits, increased risk mitigation and greater customer satisfaction for Teradata/FICO customers.

“AI is changing everything, and business will need to adjust to both the threats and the opportunities,” said Lisa Stewart, SVP WW Partners and Alliances at Teradata. “From fighting fraud to managing global supply chains, AI-powered analytics and advanced decision management are the new requirements for keeping up as well as creating advantage. These are the core competencies of Teradata and FICO, and our partnership will make it easier for our joint customers to innovate in this new AI-driven reality.”

The two companies have identified three initial offerings:

The solution will bring together FICO’s market leading FICO® Falcon® Fraud Manager, with its powerful consortium data and neural network models, and Teradata’s capabilities in enterprise-scale AI/predictive and prescriptive analytics. This is expected to provide a holistic view of a banking customer’s transactional and payments activity, and when combined with FICO decision management, provide best-in-class fraud prevention for P2P, B2C, ACH and other payment transactions.

FICO and Teradata have designed a decision automation solution to accelerate the inclusion of patient insights into the operations of claims adjusters, case managers, and special investigations units. The result of using AI in this solution to quickly segment and then identify pathways to care (based on procedures and diagnoses) can lower the financial burden while producing superior medical outcomes for the patient.

FICO’s advanced mathematical optimization coupled with Teradata’s multidimensional scaling has the potential to enable organizations to build robust capabilities to model, optimize and simulate different scenarios that affect their supply chains, and then deploy the most efficient options. At the heart of this capability is a leading optimization modelling and solver platform based on FICO® Xpress Insight, which allows operation researchers, data scientists, analysts, and business managers to easily collaborate on supply chain solutions that facilitate efficient, effective and time-sensitive decision making. This can lead to improved efficiency across plan, source, make, deliver, and return, increasing an organization’s resilience with rapid identification and mitigation of risks, and improved long-term customer satisfaction.

“Behind these solutions and others we are developing is incredible IP in decision management technology, predictive analytics, mathematical optimization and other areas,” said Alexandre Graff, senior vice president of partnerships for FICO. “Teradata and FICO both have outstanding teams and technologies for operational analytics. Together we can make breakthroughs that help businesses worldwide prosper.”

FICO was named Best Technology Provider for Data Analytics at the 2022 Credit Awards, and a Leader in The Forrester Wave™: Digital Decisioning Platforms, Q4 2020. Gartner has named Teradata a Leader in the Magic Quadrant for Cloud Database Management Systems and ranked Teradata #1 in all four use cases in the Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases. The four use cases are: Data Warehouse, Logical Data Warehouse, Data Lake, and Streaming Analytics.