Tech Stack
- .Net core
- Bootstrap
- CSS 3
- HTML
- jQuery
- Microsoft SQL Server
About Client
Over the course of more than half a century, the client has been crafting tales of accomplishment alongside designers, builders, and developers just like you. This impressive past history is the result of a lot of hard work and our mindset that things should be done well right from the start. We have vast experience in developing new structural and architectural construction solutions, and we are honored to be affiliated with a few popular building systems in the United States.
About Product
In partnership with Microsoft, Brainvire has developed a comprehensive application that empowers companies to streamline their day-to-day business operations. This innovative solution facilitates various tasks, including company creation, contact details management, project and job additions, estimations, task assignments, and the efficient tracking of critical data like timesheets and expenses.
Run Multiple Functions Simultaneously:
The client had to experience a tedious process of encoding and decoding each function individually.
Brainvire’s .NET experts created a custom attribute that allowed the website to encode and decode functions simultaneously at the Class level. This helped them save time, and functions could then run efficiently.
Solution
The Challenges
Result
- Helped Save TimeWe noticed that the client wasted several precious business hours in encoding and decoding functions. Hence, we created a custom attribute that helped run operations rapidly.
- Quicker Data AccessWith the implementation of SOA, the client had better access to business data and could use it efficiently to make lucrative business decisions in a hassle-free manner.
- Improved Operational EfficiencyIncreased Scalability: Data marts and data cubes allow you to scale the amount of data you can store and analyze by partitioning large tables and by using aggregation.
- Increased Scalability:Data marts and data cubes allow you to scale the amount of data you can store and analyze by partitioning large tables and by using aggregation.