Contata analyzed the process and designed the end-to-end application to meet the requirements of the client in such a manner that the entire process of project area creation & activation, report creation, easy collaboration, and the report solution by the respective authorities take place most effectively.
Founded in 1991, the client is one of the leading balanced scorecard implementation organizations, focused on delivering performance management solutions to customers, including tools, templates and framework.
Streamlining Patent Law Software Testing: Achieving Efficiency and Stability Through Test Automation
The client’s testing requirement was focused on ensuring comprehensive coverage of all application functionalities at a minimum smoke level in each release.
The client wanted to validate that source data is imported into the application and defined business rules are applied on source data before it’s put in destination database.
Contata’s initiative to test new and modified web services of the e-commerce landscape was an effort to deliver a high-performance application, which is free of bugs and issues.
A competitive patent payment accounting service provider with over 10 years of experience, the client helped law firms based in Minneapolis, Minnesota with innovative practice management solutions.
An invent management solution to streamline the submission process for inventors.
A cutting-edge CRM tool specifically designed for Sales & Marketing professionals.
Product engineering to enable an online search option to search through and access large volumes of data
Digital transformation to automate repetitive, manual tasks for improved operational efficiency.
Data engineering to establish ETL pipelines for the effective movement of data from one location to another.
Product Engineering for the development of a standard product with an option to customize modules on the go.
Workflow management to efficiently define, set up, and monitor operational activities.
Digital transformation to avoid time-consuming and resource-intensive manual handling of data.