See how ARDEM created a managed manufacturing data validation workflow for a manufacturing company converting 24,000 multi-page pump and compressor specification sheets across decades of formats, difficult source images, field-level interpretation, and quality-control requirements.
MANAGED MANUFACTURING DATA OPERATIONS CASE STUDY
Reducing Manufacturing Data Extraction Costs by 30% Through a Managed Validation Workflow
30%
Lower extraction cost
24,000
Multi-page specification sheets
5 steps
Validation routine
Dual capture
Compare-check control
Overview
A manufacturing company needed to convert approximately 24,000 multi-page pump and compressor specification sheets into usable data. The records spanned multiple decades and formats, and the required fields had to be captured accurately despite dense layouts, aging source material, and inconsistent document quality.
The Challenge
The operational risk centered on converting a large volume of legacy technical records without weakening data quality. Multiple formats and decades of source material meant that field placement, labeling, and readability were not consistent across the document set.
The required data fields were often positioned close to unrelated values. A processor had to recognize which information was in scope, distinguish neighboring fields, and read aging or blurred source images correctly. Speed without a defined validation model would have increased the likelihood of values being omitted, misread, or placed in the wrong field.
The ARDEM Solution
ARDEM created a managed extraction and validation workflow built around field-level review, dual-key capture, automated comparison, third-operator discrepancy resolution, random sample quality checks, and final record-count validation. The completed operating model supported the 24,000-sheet workload and reduced data extraction costs by 30%.
ARDEM organized the project as a controlled source-to-delivery workflow. The model combined document preparation, field-rule execution, independent data capture, technology-enabled comparison, human discrepancy review, sample quality control, and final count validation.
Download the Full
Manufacturing Data Validation
Case Study
Manufacturing Data Validation
Case Study
For COOs, manufacturing operations leaders, engineering operations teams, product data leaders, Controllers, and finance executives, this case study shows why legacy technical data conversion should be managed as a data operations workflow, not only as a capture task.
"*" indicates required fields
Why ARDEM
Organized the electronic specification sheets and applied image enhancement where readability required it.
Captured the required fields independently twice through dual-key data entry.
Entered the defined data fields from the source record into the processing workflow. Repeated the capture independently through dual-key data.
Compared both entries and flagged any differences between the two data sets.
Checked each flagged variant against the original specification sheet.
Performed random sample review and matched completed record counts to the counts received before delivery.Managed Workflow Diagram
The Results
ARDEM helped the client convert a large legacy specification-sheet workload into a governed data workflow with clearer field rules, independent validation, defined discrepancy resolution, and stronger visibility into completion and delivery readiness. The managed workflow reduced the client’s data extraction costs by 30%. ARDEM processed approximately 24,000 multi-page pump and compressor specification sheets. The value extended beyond processing 24,000 specification sheets. ARDEM created the operating discipline required to manage technical document variability, protect data quality, reduce extraction cost, and move a large legacy data workload forward with less internal management burden.
The 24,000 Specification Sheets Were Only the Visible Problem
The Larger Risk Was Delivering a Complete Dataset With Hidden Field-Level Errors
The operational risk centered on converting a large volume of legacy technical records without weakening data quality. Multiple formats and decades of source material meant that field placement, labeling, and readability were not consistent across the document set.
The required data fields were often positioned close to unrelated values. A processor had to recognize which information was in scope, distinguish neighboring fields, and read aging or blurred source images correctly.
A basic processor could capture visible values while leaving the client responsible for quality review, discrepancy resolution, and final completion checks. The better approach was a managed manufacturing data validation operating model.
ARDEM organized the project as a controlled source-to-delivery workflow. The model combined document preparation, field-rule execution, independent data capture, technology-enabled comparison, human discrepancy review, sample quality control, and final count validation. ARDEM helped the client convert a large legacy specification-sheet workload into a governed data workflow with clearer field rules, independent validation, defined discrepancy resolution, and stronger visibility into completion and delivery readiness.
1
Document intake and preparation
Organized the electronic specification sheets and applied image enhancement where readability required it.
2
Field-rule execution
Identified the required fields among many surrounding data points on each specification sheet.
3
Dual-key capture
Entered the defined data fields from the source record into the processing workflow.
4
Automated compare check
Compared both entries and flagged any differences between the two data sets.
5
Third-operator discrepancy review
Checked each flagged variant against the original specification sheet.
6
Sample QC and final count validation
Performed random sample review and matched completed record counts to the counts received before delivery.
What You’ll See in the Full PDF
The full case study explains:
- How ARDEM managed document intake and preparation: Organized the electronic specification sheets and applied image enhancement where readability required it.
- How ARDEM managed dual-key capture: Captured the required fields independently twice through dual-key data entry.
- How ARDEM managed dual-key capture: Entered the defined data fields from the source record into the processing workflow. Repeated the capture independently through dual-key data.
- How ARDEM managed automated compare check: Compared both entries and flagged any differences between the two data sets.
- How ARDEM managed third-operator discrepancy review: Checked each flagged variant against the original specification sheet.
- How ARDEM managed sample QC and final count validation: Performed random sample review and matched completed record counts to the counts received before delivery.
Converting Legacy Technical Documents Into Reliable Data?
Download the case study to see how a managed validation workflow can reduce extraction cost while strengthening field selection, discrepancy control, and delivery completeness.