Case study

A configuration-driven inspection analytics platform that replaces a multi-sheet Excel workflow—importing raw inspection data, applying formula-based analysis, comparing ILI and NDE datasets, and generating trend analysis and unity plots at scale.

Industries

Industrial & Engineering

Tools we used

Python, FastAPI, React, PostgreSQL, Pandas, Plotly, Docker, Azure

0

Spreadsheet dependency

ILI + NDE

Dataset comparison

Config-driven

Calculation engine

The problem

Challenges We Faced

  • Multi-sheet Excel dependencyCore inspection workflows lived inside a complex, hard-to-maintain multi-sheet Excel system that was risky at scale.
  • Error-prone manual analysisFormula-based calculations applied across many sheets created hidden errors that were difficult to trace and audit.
  • Fragmented dataset comparisonComparing ILI and NDE datasets required tedious manual alignment that slowed down inspection cycles.
  • No path to automationThe existing setup could not support future automation, integration, or scaling requirements.

What the client needed

Inspection teams depended on a complex Excel system that was difficult to maintain, error-prone, and unable to support future automation requirements.

Our approach

Core Bracket's Solution

  • Centralized data importBuilt a structured import pipeline for raw inspection data that replaces manual spreadsheet ingestion.
  • Configuration-driven engineImplemented a calculation engine where formulas and rules are managed through configuration instead of hidden cells.
  • ILI and NDE comparisonDesigned dedicated workflows for aligning and comparing ILI and NDE datasets with clear inspection insights.
  • Automated trend and unity plotsGenerated trend analysis and unity plots automatically, replacing brittle manual chart construction.

We delivered NC Unity Plot as a centralized platform that handles data import, configuration-driven calculations, ILI/NDE comparison, and automated trend and unity plot generation.

The outcome

Results We Achieved

  • Zero spreadsheet dependencyInspection analysis no longer relies on a fragile multi-sheet Excel workflow.
  • More reliable analysisConfiguration-driven calculations produce consistent, traceable results across inspection cycles.
  • Faster comparison cyclesILI and NDE datasets are compared and visualized far more quickly than the previous manual approach.
  • Ready for automationA maintainable, extensible platform prepared for future automation and integration needs.

The platform replaced fragile spreadsheets with a maintainable, scalable system ready for future automation across inspection workflows.

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