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
Collections teams are now empowered with AI enabled risk segmentation, early prediction of delinquent accounts, suggested treatment plans based on risk segment which helps them improve efficiency
According to recent reports from the Federal Reserve Bank of New York credit card, household debt and auto-loans delinquency rates have been slowly rising, hitting a 7 year high recently.
Organizations – having realized the immense value of sophisticated procurement functions, are transforming their external spend for operations and cost optimizations. There is increased focus now fo