Data Integration – Case study​

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BUSINESS PROBLEM

Our client gets data from multimodal sources and can have very different types and formats of files.​Some of the data comes in form of documents, some in the form of images, and some even as raw API responses. The problem was the vast amount of format variance in this data and the difficulty in understanding information.​


SOLUTION 

Our team aggregated all the information coming from every source into a blob storage. Specifically, the AWS S3 bucket​ – We acquired business requirement and knowledge to understand the required information from each kind of data that the client gets​ – We used this knowledge to build a custom pipeline for document intelligence​ – This pipeline collects raw data, extracts information based on the acquired business knowledge and then consolidates it into a standardized format​ – This standardized format can then be used by the client in just about any manner required​

IMPACT 

The client attained the ability to gain deep insights from extremely varied data formats​ – This insight now allows the client to operate their business effectively and efficiently​ – Some of the new information helped the client drive new business opportunities​ – The standardized format we created allows the client to use this information further for various business requirements

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