Case study | Atlassian
Streamlining Project Delivery with Jira Cloud Migration and Custom Dashboards
- Geography: India
- Industry: Consulting
- Employees: 10K+
- Solution: Project Management
- Services: Cloud Migration
The client
Straive is a leading content technology enterprise with a global workforce exceeding 10,000 employees. They provide data solutions, content services, and educational technology solutions, empowering businesses to operationalize data analytics and artificial intelligence (AI).
Client requirements
Enhanced Project Delivery & Insights
Improve project delivery efficiency across Proposal Development, Client Engagement, and Solution Development teams.
Scalable Platform for Improved Performance
Gain deeper insights into project performance through customized dashboards.
Strategic Jira Cloud Migration
Migrate a key project to Jira Cloud to leverage its scalability and enhanced features.
Our approach
A comprehensive audit of Straive's Jira Server environment meticulously documented its existing setup, including issue volume, user count, and plugin configurations. This detailed analysis informed the specific dashboard requirements, which prioritized tracking delivery performance for US and UK records and identifying SLA violations due to timeliness or accuracy.
Our solution
Comprehensive Jira Server Assessment & Cloud Setup
Existing configurations were thoroughly documented, followed by the setup of a new Jira Cloud instance with configured users, permissions, and workflows.
Seamless Data Migration
All project data, including issues and attachments, was successfully migrated to the new Jira Cloud environment using the Jira Cloud Migration Assistant.
Enhanced Reporting & SLA Tracking
Custom dashboards were configured using EazyBI for in-depth project performance insights, and the Time to SLA plugin was implemented for effective service level agreement management
Business benefits
- Improved Project Visibility: Real-time access to key project metrics and performance indicators.
- Enhanced Decision-Making: Data-driven insights to optimize project workflows and identify areas for improvement.
- Streamlined Client Engagement: Improved communication and collaboration with clients through transparent project tracking.
- Increased Efficiency: Reduced manual reporting and analysis, freeing up team resources for more strategic tasks.
Technology stack
