Our Work

AWS ecosystem already in place, but decentralised data for every research.chance to combine data into a single, comprehensive report and dashboard.

built a central reporting platform on Amazon Redshift that allowed field personnel to enter data automatically.To automate resource configuration, AWS Glue was deployed.

Amazon QuickSight was used to accelerate the distribution of insights to sales teams and customers.

User productivity is reduced as a result of sluggish data streams created by recurrent calls.

Customer engagement is low owing to the lack of a mobile app.

Adopted an onsite/offshore model to save money and time.

Initial framework for a mobile app was created.

Classic Code Base was migrated to Lightning Experience.

Continuous gap analysis during R&D to improve feature development.

Improve client collaboration to prevent technological debt and boost efficiency.

Due to the use of default Azure tools and libraries, app performance was subpar.

There is no two-factor authentication for data access, and the permission management system is misconfigured.

Microservice architecture was used to modernise and construct an Azure cloud-native application.

Using Azure service fabric and Kubernetes, I created scalable, self-sufficient, and resilient apps.

2FA for Azure Directories should be tested and developed.

The Angular Material framework was used to improve the user interface.