Leading Professional Services Firm

Data Visibility Transformation: Results in Nearly 75% Faster Workflow Releases

Allata implemented a real-time data visualization UI and 36 process documents, enabling self-service tracking that cut release times from one to two days to half a day (up to 75% faster), reduced manual inquiries, and accelerated onboarding for internal teams.

Services

Technology & Cloud

Industry

Professional & Administrative

OVERVIEW

A leading global professional services firm faced persistent workflow blind spots, resulting in excessive time spent on stakeholder inquiries and slow-release cycles. Allata delivered a comprehensive data visualization UI and robust documentation, reducing release processes from up to two days to just half a day. This solution improved operational efficiency and streamlined onboarding for internal and offshore teams, establishing a scalable foundation for future data management enhancements.

SITUATION

Accelerating Data Operations with Real-Time Visibility

Allata partnered with a leading global professional services firm to address critical visibility gaps in their data team’s operations. The team’s inability to track data movement led to overwhelming support requests and inefficient resource allocation.

By implementing a real-time data visualization UI and extensive process documentation, Allata enabled the client to:

Reduce release process time from 1–2 days to half a day
Document 36 wiki pages, covering onboarding materials, how-to guides, architectural diagrams and data workflows
Establish a foundation for ongoing operational efficiency and collaboration

impact

Eliminating Data Blind Spots and Resource Drain Amid Ambiguity

The client’s data team struggled with a lack of transparency in data processing. Stakeholders frequently asked, “Where is my data?” This created significant operational overhead and diverted resources from strategic initiatives.

With no visibility between data input and output, stakeholders faced uncertainty in planning, and the data team was forced to examine each status inquiry manually. This reactive approach drained resources and slowed progress on higher-value projects.

The absence of a clear project vision and limited end-user input made defining requirements and setting priorities challenging, further complicating the path to operational improvement.

No self-service mechanism for data status checks
High operational overhead from manual inquiries
Onboarding processes that took multiple days
Lack of documentation for access management and system setup

OUR SOLUTION

Modernizing Workflow Visibility with Scalable Architecture and Knowledge Management

Allata designed and implemented a real-time data workflow visibility solution, empowering stakeholders to monitor data progress through the data ecosystem independently. The solution functioned as a self-service tracking system, reducing dependency on the data team.

The team deployed a micro-frontend architecture using React for the UI and a .NET RESTful API backend, directly integrating with SQL and Databricks. This approach delivered responsive, real-time data visualization and established a scalable platform for future needs.

Allata created approximately 36 process documents, covering onboarding, access management, project architecture, and release procedures. This documentation addressed recurring operational challenges and ensured knowledge transfer across teams

Developed data flow visualization UI for end-to-end tracking
Expanded functionality to include third-party data partners
Created comprehensive documentation for onboarding and operations
Standardized release process, reducing deployment time

THE RESULT

Operational Excellence and Lasting Impact

The new solution delivered immediate, measurable improvements. Standardized release processes cut deployment time by up to 75%, while extensive documentation accelerated onboarding for internal and offshore teams.

Showcasing Future Potential

The data visualization UI was successfully demonstrated to a potential crypto client, highlighting its adaptability and value for future implementations.