Modernization and Scalability Enhancement for a B2B Organizational Architecture Platform

The client faces the need to migrate their existing legacy platform to a modern technology stack to accommodate rapidly increasing market demand. The existing solution requires significant replatforming by rewriting the front end, enhancing back-end data handling capacity for enterprise-level scalability, and implementing proactive quality assurance measures. Additionally, the client requires improved user interface and user experience capabilities to attract and retain customers, while establishing a robust development and deployment process.

A mid-to-large enterprise specializing in digital transformation services, delivering a platform for documenting, analyzing, and visualizing organizational architecture components, including applications, data, technology, and business processes.

• Replatform the existing organizational architecture documentation and analysis platform onto a modern, scalable technology stack.
• Enhance front-end UI/UX to improve user engagement and visual clarity of organizational relationships and dependencies.
• Improve back-end data processing performance to efficiently handle large datasets typical of enterprise environments.
• Implement early issue detection and resolution mechanisms through automated and manual quality assurance processes.
• Establish a smooth collaboration framework and development lifecycle process to facilitate continuous improvement and rapid feature deployment.
• Align the development efforts with the client's strategic product roadmap to ensure ongoing market relevance and competitiveness.

• Graphical interface for creating, editing, and visualizing organizational relationships and dependencies.
• Support for importing and exporting large datasets related to diverse organizational components.
• Analytical tools for impact analysis and dependency mapping.
• Real-time collaboration features to facilitate cross-team communication.
• Integration of automated testing and issue tracking within the development process.
• Responsive and modern UI/UX design to enhance usability and appeal.

• Data import/export interfaces for organizational datasets
• Third-party visualization tools if applicable
• Automated testing frameworks for QA processes

• System must support handling large datasets with enterprise-level performance
• Reliability with minimal downtime, adhering to uptime SLAs
• Security protocols to protect sensitive organizational data
• Scalability to accommodate increasing number of users and data volume
• Compliance with industry standards for data security and privacy

Successful replatforming and enhancement of the organizational architecture analysis platform are expected to significantly improve user engagement through improved UI/UX, support large-scale data processing, and streamline the development lifecycle. This will solidify the client's market position, attract new customers, and enable rapid deployment of new features, ultimately driving increased revenue and customer satisfaction.