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Cloud Based Analytics Platform

Transforming complexity into clarity with real-time insights

Cloud Based Analytics Platform Casestudy
  • An auto-remediation platform for improving software efficiency
  • 30% Reduction in Technical Debt
  • 25% Faster Software Releases
  • Real-Time Data from 20K+ repositories

Enhancing software delivery with a cloud based analytics platform

Cloud Based Logistics Software
Overview
The Client

Experion designed and delivered a cloud-native engineering analytics platform for a global automotive manufacturer. The client was facing rising technical debt, disconnected DevOps tools, and limited visibility across a 20K+ repository development ecosystem. The platform seamlessly integrates with tools like Jira, GitHub, ServiceNow, GitLab, and Jenkins. It effortlessly turned scattered engineering data into real-time, actionable insights for 4K+ developers across 60 vendors. The result was a 30% reduction in technical debt, 25% faster release cycles, and leadership empowered with engineering intelligence through a GenAI-powered chatbot.

A renowned name in the automotive industry, known for engineering excellence, innovation, and quality. As the organization expanded its digital footprint, its internal software development processes presented opportunities for optimization- reducing technical debt, enhancing visibility into vendor performance, and integrating vast amounts of dispersed data to drive efficiency and innovation.

Overcoming Challenges with Intelligent Solutions

Challenges

Solutions

Challenges
Rising Technical Debt Accumulating Technical Debt led to security vulnerabilities, slowed progress, and hindered innovation within the organization.
Solutions
Tech Debt Watchtower and Auto Remediation Engine
The platform can track tech debt across frameworks, languages, and cloud infrastructure in real time. It goes beyond reporting by automatically raising remediation pull requests across 2,000+ repositories.
Challenges
Scattered Data across disconnected tools Scattered Data across tools such as Jira, GitHub, ServiceNow, GitLab, BuildFarm, and Jenkins made achieving a unified view of progress nearly impossible.
Solutions
Seamless DevOps Integration
The platform is plugged directly into the existing DevOps toolchain- Jira, GitHub, SonarQube, Jenkins, ServiceNow, and cloud resources, capturing real-time data across the software lifecycle.
Challenges
Limited visibility into team and vendor performance The client relied on manual reporting and self-assessments, limiting visibility into team productivity, application health, and vendor delivery quality.
Solutions
Unified Dashboards & Vendor Performance Tracking
Consolidated dashboards act as a single source of truth, providing composite health scores per application and objective vendor scorecards.
Challenges
No accessible way to query engineering data Stakeholders need instant answers from complex data but lack the technical expertise to navigate multiple dashboards.
Solutions
Gen-AI-powered chatbot on Microsoft Teams
Built on Azure OpenAI, AWS Lambda, and Amazon Lex and integrated directly into Microsoft Teams, the chatbot enables any user to ask questions and receive instant, data-backed answers.

Outcomes

Cloud Based Logistics Software
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The cloud analytics platform transformed the software delivery efficiency: From a fragmented and manual process into a unified, data driven ecosystem. Leadership gains real-time clarity, developers gain automated support, and the entire organization moves faster.

  • A 30% reduction in technical debt- with reduced inefficiencies and cleaner codebases
  • 25% faster software releases- streamlined workflows and bottleneck identification accelerate delivery cycles.
  • $1.6M in tech debt cost savings through automated remediation across 2000+ repositories.
  • Around $ 2.4 K US saved per repository across nearly 10,000 repositories.
  • Leadership gained clear, actionable insights into project health and team performance, enabling smarter, faster decision-making.
  • Applications were delivered faster and with greater reliability and technical soundness.
  • Optimized AWS resources help reduce costs without sacrificing capabilities.
  • Real-time visibility across 20K+ repositories, 695 teams, and 60 vendors from a single platform

The cloud based analytics platform wasn’t a one-time fix- it was a catalyst for long-term transformation.  Teams are more connected, workflows are smoother, and innovation moves at top speed

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