Objective:

To enhance and maintain NDA, a robust analytics platform that provides business intelligence and reporting capabilities focused on interaction analytics. The client approached us to develop and support specific parts of the analytics system and add integrations with new data sources, improving its scalability, performance, and functionality.

Challenge:

The main challenges stemmed from the complexity and maturity of the existing system:

• High data volume processing: NDA handles massive amounts of interaction data, requiring extensive optimization of data pipelines, indexing, and storage to ensure consistent performance and scalability.
• Legacy codebase: The platform had been evolving for over a decade, which meant working with outdated components that introduced dependency issues and made refactoring and updates risky without thorough regression testing.
• Cross-functional collaboration: Multiple specialized teams (analytics, microservices, deployment, etc.) worked simultaneously, demanding efficient coordination and communication to maintain project consistency.
• UI/UX alignment issues: Some new designs conflicted with existing technical limitations, requiring creative adaptations to deliver user-friendly interfaces while staying within architectural constraints.

Solution:

Our team focused on continuous development and maintenance of the NDA platform rather than building from scratch.

• Optimized the data processing pipelines to handle large datasets more efficiently.
• Refactored legacy modules to modernize the codebase and reduce dependency-related issues.
• Introduced new integrations for additional data sources, expanding the system’s analytical capabilities.
• Collaborated closely with cross-functional teams through structured planning, documentation, and regular sync meetings to ensure alignment and smooth delivery.
• Adapted UI/UX designs where necessary to balance technical feasibility with user experience goals.

The result was a more stable, scalable, and responsive analytics environment capable of delivering actionable insights to enterprise clients.

Team Composition:

• 8 Software Engineers
• 1 QA Engineer
• 1 Project Manager

Project Duration:

Ongoing — the product has been in continuous evolution for over 15 years.

Technologies:

• Frontend (Web Application): Angular — chosen for its scalability, modular architecture, and compatibility with enterprise-level applications.
• Middle Tier (Application Layer):
• ASP.NET and C# — used to implement robust web and service logic.
• Elastic Search — served as the core engine for fast and efficient search and indexing capabilities.
• Backend (Database Layer): Microsoft SQL Server — ensuring reliable storage, data integrity, and advanced query handling for large-scale analytics.

Results:

• Enhanced system performance and data scalability, ensuring reliable operation with large datasets.
• Improved code maintainability through targeted refactoring of legacy components.
• Strengthened cross-team collaboration and delivery efficiency through structured workflows and documentation.
• Supported continuous modernization of a 15+ year-old analytics platform, extending its product lifecycle and aligning it with modern enterprise needs.

Our involvement helped NDA continue evolving the product — maintaining its position as a leading enterprise interaction analytics solution.