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Scalable Atlassian Solution Optimization and Automation for Global Climate Initiative
  1. case
  2. Scalable Atlassian Solution Optimization and Automation for Global Climate Initiative

Scalable Atlassian Solution Optimization and Automation for Global Climate Initiative

itransition.com
Energy & natural resources
Information technology
Government

Complex Collaboration and Process Management Challenges in a Global Climate Solutions Organization

The client is experiencing difficulties in scaling their Atlassian suite to support a growing number of projects and requests, managing over 1,000 weekly requests with 50+ request types across numerous service projects. They face inefficiencies due to manual processes, unmanaged licenses, fragmented workflows, and lack of automation, hindering their ability to deliver climate solutions efficiently and cost-effectively at a global scale.

About the Client

A large, global organization specializing in climate solutions and sustainability projects, managing hundreds of requests across multiple departments and regions, with a complex suite of software tools and workflows.

Goals for Streamlined, Automated, and Cost-Optimized Atlassian Operations

  • Enhance and scale the Atlassian cloud environment to support an increasing volume of requests and project types while maintaining compliance and control.
  • Implement automation of routine operations across departments to improve efficiency and reduce manual effort.
  • Design and configure tailored workflows and dashboards to enable seamless task tracking and management for dispersed teams.
  • Develop integrations with external HR and financial systems to unify task management and enhance data consistency.
  • Perform ongoing license management, cost optimization, and system tuning to maximize value and minimize operational costs.
  • Provide comprehensive user training, documentation, and ongoing support to ensure self-sufficiency and continuous improvement.

Core Functional System Requirements for Scalable Collaboration and Automation

  • Audit and assessment of current Atlassian configurations and processes.
  • Configurable JSM and Jira workflows tailored to multiple departmental request types.
  • Advanced automation rules and custom plugins to streamline request handling and notifications.
  • Integration with external HRIS and accounting systems for unified task tracking and process automation.
  • Development of custom dashboards and filters for different teams and locations to optimize task visibility.
  • End-to-end license management including audits, reallocations, and cost optimization.
  • Training sessions, comprehensive documentation, and ongoing technical support.

Preferred Technologies and Architectural Approaches for Implementation

Atlassian Cloud products (Jira, Jira Service Management, Confluence)
RESTful API integrations
Webhooks for real-time event handling
Custom plugin development within Jira
Automation frameworks within Jira and JSM

External Systems and APIs for Seamless Data and Workflow Integration

  • HR information system (HRIS) for onboarding, offboarding, and performance workflows
  • Accounting or financial management systems for billing and invoicing automation
  • External SaaS platforms involved in employee management and financial processes

Key Non-Functional System Requirements for Reliability and Performance

  • Scalability to support upwards of 1,000 requests per week and numerous request types across multiple teams and geographies
  • High system availability and minimal downtime for global operations
  • Data security and compliance with industry standards
  • Performance efficiency to enable real-time task updates and reporting
  • Cost-effective license management with continuous optimization recommendations

Projected Business Benefits from Atlassian Solution Optimization

The project is expected to enable the client to scale their Atlassian environment efficiently, automate routine processes, reduce manual workload, and improve task management across multiple locations. Anticipated outcomes include increased operational efficiency, faster request resolution times, cost savings through optimized license management, and enhanced data-driven decision-making, ultimately supporting the client’s mission to deliver impactful climate solutions globally.

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