Development of a desktop application for collecting employee feedback on support services in a distributed enterprise, centralized through Microsoft Active Directory for seamless deployment.
{
"project": "Employee Feedback Application Development",
"domain": "Business Solutions",
"status": "completed",
"technologies": [
"Linux",
"C# .NET",
"MSSQL",
"WinAPI",
"Auto Testing",
"PostgreSQL"
]
}The goal of the Employee Feedback Application project was to create a simple, accessible tool for gathering feedback from employees of a large distributed enterprise regarding their satisfaction with internal support services. The system aimed to streamline the feedback collection process, improve the efficiency of support services, and enhance the overall operational effectiveness of the enterprise.
The Employee Feedback Application was designed to address the challenges faced by a large, distributed enterprise in collecting and managing employee feedback on internal support services. Given the scale of the organization, with thousands of employees across multiple locations, a streamlined and automated approach to feedback collection was essential.
The application was developed using C# and .NET to provide a robust and efficient desktop solution for Windows environments. The use of Microsoft Active Directory for deployment ensured that the application could be distributed seamlessly across the entire enterprise without requiring manual installations, significantly reducing the administrative burden.
Feedback data was centralized in an MSSQL database, where it could be analyzed by support service teams and management to identify areas for improvement and implement solutions quickly. The focus was on creating a user-friendly experience for employees, allowing them to leave feedback with just a few clicks.
Business solutions encompass a wide range of software tools and platforms designed to improve efficiency, manage employees, automate processes, and facilitate business intelligence. These solutions are essential for organizations looking to streamline operations, enhance productivity, and make data-driven decisions.
Customer and sales management involves processes and systems aimed at acquiring, managing, and retaining customers. It includes CRM systems, sales automation, support services, marketing, prospecting for clients, and loyalty programs to improve sales efficiency and customer satisfaction.
Data analysis involves examining, transforming, and modeling data to extract useful information and support decision-making. It often includes data scraping, where raw data is collected from various sources, and is used for a range of purposes, from business intelligence to machine learning.
The Offline First approach involves designing applications that prioritize functionality even without an internet connection. This approach is commonly applied to both desktop and web applications, allowing users to continue working offline and sync their data when connectivity is restored.