Data pipeline & dashboarding

July 1, 2024
5 min Read

Table of contents

Problem

Increased Efficiency for a Leading Automotive Manufacturer

Toyota needed to see their parts shipping trailer efficiency each day to drive cost savings within their network. The team was stuck using “worst case scenario” optimization across their entire network, so they needed a unified Data Pipeline to deliver insights to leadership without the usual latency, errors, and gaps.

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Solution

Unprecedented Real-Time Visibility

By optimizing the Data Pipeline, Toyota was able to achieve daily data acquisition from 15 facilities with multiple data formats (excel, csv, sql, and oracle). In addition, they now have data automated validation and reporting for missing or incorrect data without the need for manual checks.

Instead of chasing their data across multiple unreliable reports, Toyota’s leadership now has a single pane of glass via an executive-level dashboard with deep-dive capability for individual data sets.


Benefits

Faster Reports, Better Visibility, Increased Efficiency

With an Optimized Data Pipeline and custom built dashboards, Toyota experienced several benefits:

  • Reports that used to run weekly now run daily for increased visibility
  • No more “worst case scenario” optimization
  • A single executive-level dashboard with drill-down capabilities
  • A 13% increase in efficiency
  • $150k in monthly savings
Case studies

More engineering wins

Case studies
Cost Optimization / FinOps
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Cost Optimization / FinOps

Cost Optimization—also known as FinOps—integrates financial accountability into the engineering workflow. By embedding cost visibility and controls directly into the platform, organizations can optimize cloud spend, reduce waste, and make informed trade-offs between speed, performance, and cost.

Case studies
Multi-Cluster & Multi-Cloud Management
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Multi-Cluster & Multi-Cloud Management

Multi-Cluster & Multi-Cloud Management allows organizations to operate seamlessly across multiple Kubernetes clusters and cloud providers. Platform engineering abstracts the complexity of distributed environments, ensuring governance, consistency, and control at scale through unified configuration and automation.

Case studies
Cloud Foundations
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Cloud Foundations

Cloud Foundations provide the secure, scalable base upon which all modern applications run. By defining organizational structures, networking, IAM policies, and security baselines, platform engineering ensures every workload operates within a consistent, compliant, and well-governed cloud environment.

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