Development of a Custom Mobile and Web Application to Enhance Client Engagement and Data Management

The client faced difficulties in providing a unified, accessible platform for their clients to access services and data, leading to reduced engagement and inefficient data handling across their operations.

A mid-sized consulting firm specializing in digital transformation and client management solutions, seeking to improve their engagement platform and internal data analytics.

• Develop a comprehensive mobile and web application that offers seamless access to services and data for clients.
• Improve client engagement metrics by enabling real-time data interaction and streamlined communication channels.
• Enhance internal data management capabilities to support analytics and decision-making processes.
• Achieve a system scalability that supports future growth without compromising performance.

• User Authentication and Role-based Access Control to ensure secure and tailored user experiences.
• Custom dashboards presenting real-time analytics and key metrics relevant to client and internal decision-makers.
• Messaging and notification modules for instant communication between clients and service providers.
• Integration with existing data sources and third-party services to aggregate and display relevant information seamlessly.
• Responsive interfaces optimized for both mobile devices and desktop web browsers.

• Existing CRM and ERP systems for data synchronization
• Third-party analytics and reporting tools
• Notification services (e.g., email, SMS gateways)

• System uptime of 99.9% with disaster recovery support
• Data encryption both at rest and in transit
• Ability to handle at least 10,000 concurrent users
• Response times under 2 seconds for core functionalities

The implementation of the new client engagement and data management system is expected to significantly improve user engagement metrics, leading to increased customer satisfaction and retention. It aims to streamline internal data workflows, reduce operational inefficiencies, and support scalable growth, with an anticipated 25% increase in client activity and a 15% reduction in data processing time within the first year of deployment.