O2I Identified High Value Transaction Parties for a Bank

Case Study on High Value Transaction Parties Identification for a Bank

The Client & Requirements

The client is a leading bank which has been catering to global clients for a long time now. They were looking for a data science service provider and wanted to identify key customer accounts executing high value transactions. The aim of the project was to identify such parties and approach them as potential clients.

The Challenges

Our team of highly experienced data scientists had a few challenges while implementing the project for the client. Some of them are listed here -

There was a limited amount of information about the third parties and it was necessary to augment the information from the transaction details
Our team required to collate information from different sources such as web, transaction details, and extract key annotators
The information gathered needed to be represented in the form of a graph for easy analysis by the client

Our Solution

After carefully analyzing the requirements of the client, our expert team of data scientists provided the client with the following solution -

We carefully analyzed the transaction information, augmented third-party data from the web, and extracted key annotators like the name of the establishment, number of personnel, the value of the organization, date of establishment, and contact information
The information was projected on a graph for business users to quickly identify and target the potential customers
Our team used Hadoop technology for information augmentation and Neo4j for the graph analytics

The Result

The client was completely satisfied with the results we provided, and it helped them to approach new potential clients and boost their revenue. This will help the bank to retain their net assets.

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