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Agile Performance Optimization Platform Development
  1. case
  2. Agile Performance Optimization Platform Development

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Agile Performance Optimization Platform Development

brainhub.eu
Financial services

Transparency and Predictability in Product Delivery

The client's Agile team, utilizing Kanban, lacked visibility into team efficiency and the ability to create data-driven development plans. Stakeholders struggled to understand delivery predictability and lacked insights into bottlenecks hindering value delivery. This resulted in a 30% performance loss and limited ability to forecast product development timelines effectively.

About the Client

A large multinational financial corporation providing a range of financial services to individuals and businesses.

Project Goals

  • Increase transparency of the product development process.
  • Optimize value delivery with each iteration.
  • Enable data-driven planning for product development.
  • Improve predictability of product delivery timelines.
  • Provide stakeholders with real-time insights into team performance.

Functional Requirements

  • Real-time tracking of Cycle Time and Throughput for individual tasks and sprints.
  • Automated generation of dashboards visualizing key Agile metrics.
  • Reporting capabilities to analyze historical data and identify trends.
  • Alerting system to notify stakeholders of potential bottlenecks or deviations from target metrics.
  • Integration with existing project management tools (e.g., Jira, Azure DevOps).
  • Customer Lead Time tracking and reporting.

Preferred Technologies

Cloud-based platform (e.g., AWS, Azure, GCP)
Data visualization libraries (e.g., Tableau, Power BI, Grafana)
API integration capabilities
Database for storing and querying metrics data

Integrations Required

  • Jira (or other existing project management tool)
  • Git repositories
  • Communication platforms (e.g., Slack, Microsoft Teams)

Key Non-Functional Requirements

  • Scalability to handle a large volume of data and users.
  • High performance and responsiveness.
  • Robust security measures to protect sensitive data.
  • Data privacy compliance (e.g., GDPR).

Expected Business Impact

Successful implementation is expected to result in a 50% increase in team throughput, improved predictability of product delivery, enhanced stakeholder visibility, reduced time-to-market for new features, and ultimately, increased business agility and competitiveness.

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