Despite wide availability of data across multiple sources, enterprises struggle to leverage it as it is not readily usable.
Data Harmonization addresses this challenge by contextualizing external business data for each enterprise and making it insight-ready, by leveraging automation and machine learning techniques.
It is a cloud-based solution and is capable of harmonizing different, multiple external data sources in parallel. The solution leverages Machine Learning to perform systematic data analysis and harmonization of data.
Data Harmonization makes the data relevant to the enterprise through contextualization and helps overcome the challenges associated with having disparate data sources.
Predominant language identification, mixed language translation, spelling corrections while preserving the context
Interpreting abbreviations and acronyms, contextual matching, establishing uniqueness
Classification of identified products (own or competitor’s) against company defined attributes or against industry standards
Make your data usable through contextualization for a truly data-driven business
Lenders are pursuing machine learning (ML) to grow recovery and reduce collections costs. Learn from experts the solution approaches and implementation best practices to maximize ROI
Businesses across industries are increasingly adopting AI with the pursuit of new opportunities for growth.
FinXEdge Collect (formerly CollectEdge) is a data-driven intelligence application powered by advanced Machine Learning that helps lenders and debt collectors reduce delinquency rates and charge-offs,