Toptal helps data analytics leader reduce release cycle from 1 month to 1 week.
A data analytics software company embarked on a journey to transition from desktop solutions to a cloud-based platform but faced major challenges in release management.
Client
A global AI and data analytics software company helping teams automate analytics workflows and drive faster decisions.
Employees
Revenue
Industry
TechnologyDelivered Services
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The organization struggled with inconsistent release cycles and delays due to a lack of ownership in release management, compounded by an ineffective release train model that caused last-minute changes and scheduling issues.
Solution
Restructuring Release Management
Toptal assessed the company’s release management processes and implemented a streamlined solution with a dedicated release manager, improving coordination and execution.
Multi-team Coordination Strategy
To handle complex product releases, Toptal developed a comprehensive strategy that included a release dashboard to categorize defects and manage changes across teams.
Outcome
Reduction in Failed Releases
Failed releases dropped to just one every two months, while the release cycle was reduced from one month to one week, dramatically improving efficiency.
Stabilized Release Cycles
Toptal’s improvements led to more stable release cycles, better coordination across more than 20 teams, and heightened stakeholder satisfaction during the company’s transition to the cloud.
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