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Azure Database
Automated Data Transfer from PDF files to Azure Database for Insurance Company 2022-23

Abstract Insurance service providers operate in a highly competitive environment wherein customers and stakeholders expect on-demand settlement of claims. Despite digitization of processes, the insurance industry is prone to delay in grievance handling and claims processing resulting into rise in frauds and a dissatisfied consumer. One of the unresolved bottlenecks here is the errors in

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Azure Migration
Azure Migration for a Healthcare Tech Company 2022-23

Customer Background The customer is a renowned healthcare technology company in the United States. Over the years, the company has provided software solutions to an array of hospitals, clinics, research centers and other medical institutions. The business provides information management services on their native tool in United States. Business Requirement As the business underwent significant

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React
Interest-Centric Web Application Development

Interest-Centric UI is revolutionizing the way small businesses in the US manage 401k plans for their employees. One of our clients needed to improve their user experience in a new mobile interface adapted to support a variety of devices. This required a mobile-friendly application that would support and enhance credibility with customers, clients, and influencers. They wanted to improve the existing web application with a new look and feel that could scale efficiently on across mobile devices. The challenge for Intellinez was to provide an exceptionally immersive experience while driving additional data and analytics, resulting in a higher rate of user engagement.

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React
Improved scalability and performance with Custom cloud migration

A multinational company wanted to benefit from using data warehouse services, advanced analytics, data mining, and reporting, by migrating from an on-premise Oracle-based platform into a scalable cloud data warehouse solution. The solution to be migrated had two terabytes-sized Oracle databases. Advanced analytics queries were in many cases timing out and underlying infrastructure had to be optimized for OLAP rather than OLTP. 

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