CATCH is typically used by Banks to periodically monitor their customer portfolio through the analysis of current account from the bank itself in terms of risk, early warning monitoring and marketing.
The main inputs of CATCH are current account data provided by the bank via batch.
Transactions are classified and the Score Engine allows the execution of algorithms in order to calculate the KPIs.
The output is a set of Out Of the Box Risk and Cross-Up Selling KPIs (to select the eligible customers for proactive upselling), as well as the list of categorized transactions.
CATCH allows also to deploy and execute Custom KPIs according to Client’s business priorities.
Strengths
Key features
Account and transactional data exploitation
Categorization engine leveraging on CRIF experience
Possibility of personalization of KPIs suite
Main Advantages
Key benefits
Enhance existing credit worthiness and facilitate access to lending
Understand spending behavior and provide tailored services to your customers
Personalize the insights according to your business needs and enrich your customers profile
CATCH is bank oriented:
- works on a single Bank portfolio, or on a Group of Banks Portfolios
- Current account transactions are periodically shared with the system, mainly in a batch mode. The frequency is based on the institute needs
This means that, for the Bank, it is possible to periodically monitor customers portfolio (consumer and business) in terms of Risk, early warning monitoring and marketing without additional end user engagement needed.
Data download and processing, does not need further consent from the customer apart from the one already collected by the bank during subscription phase.
Based on Machine Learning and A.I., the CATCH categorization classifies each current account transaction in one of the expense or income categories belonging to CRIF Taxonomy.
Categorization capability, that is an enabling step for KPIs calculation, is available as a stand alone module to support Banks requiring a bulk categorization service.
Leveraging on experience built in Open Banking environment, CRIF has developed an out of the box KPIs suite designed for the credit risk assessment and the evaluation of consumption habits.
CATCH applies such suite, massively and periodically, on the Bank accounts’ portfolio.
Moreover, custom suite of KPI can be designed to fit needs and processes of the Bank. CATCH applies such suite, massively and periodically, on the Bank accounts’ portfolio.
CATCH
CRIF solution to explore your Customer Portfolio Data. CATCH APIs complete the batch functionalities suite, to enrich the bank customer base with categorized transactions data, KPIs, and scores to monitor customer creditworthiness and analyze behaviors and preferences to run appropriate commercial strategies.