ERP, ESTIMATION & OPERATIONAL DATA INTEGRITY

ERP, ESTIMATION & OPERATIONAL DATA INTEGRITY

Decision-Support Domain — Truthful Data for Executable Decisions

ERP, Estimation & Operational Data Integrity is the TJEG domain deployed when leadership decisions are being driven by distorted, incomplete, or fictional operating data.

This domain exists to answer one question with precision:

Can leadership trust the data used to make operational decisions—and if not, where is it lying?

Most organizations assume their ERP, routings, BOMs, time standards, and KPIs reflect execution reality. In practice, these systems often encode assumptions, legacy shortcuts, political compromises, and historical drift rather than how work is actually performed.

When operational data is wrong, decisions are wrong—even if leadership is competent.

TJEG corrects the integrity of operational data so digital systems reflect execution physics, not wishful modeling.

This domain is decision-support only.
It does not analyze financial statements, pricing, margins, or accounting records.

WHAT THIS DOMAIN ADDRESSES

This domain is engaged when:

  • ERP outputs contradict shop-floor reality

  • Estimates degrade over time despite experience

  • Routings no longer match how work is performed

  • BOM errors surface late in production

  • KPIs improve while throughput, quality, or delivery decline

  • Leadership debates data instead of decisions

  • “The system says it should work” but it doesn’t

  • Scheduling instability persists despite planning tools

ERP & Operational Data Integrity resolves these conditions by reconciling digital logic with physical execution.

SERVICE GROUP INDEX

ERP, Estimation & Operational Data Integrity

Select a service below to view full scope, delivery model, boundaries, and engagement pathways.

ERP Cost-Integration Quick Scan →

Rapid assessment of whether ERP cost and time logic aligns with real execution behavior.
Primary use: immediate data distrust, leadership conflict over numbers.

Cycle-Time Integrity Reconstruction (CTIR) →

Rebuild of cycle-time standards based on observed execution, not legacy assumptions.
Primary use: schedule misses, unrealistic planning, capacity distortion.

Estimation System Rebuild (ESR) →

Correction of estimation logic to reflect real process physics and variance.
Primary use: quoting errors, margin erosion driven by operational mismatch.
Non-financial; no pricing or margin analysis.

Routing & BOM Integrity Audit →

Verification that routings and BOMs reflect how work is actually sequenced and assembled.
Primary use: late-stage material shortages, mis-sequencing, rework.

Operational Data Trust Framework →

Design of governance rules ensuring future data changes remain execution-aligned.
Primary use: preventing regression after correction.

Variance-Aware Modeling Modules →

Integration of variance visibility into operational models so leadership can see instability before it cascades.
Primary use: unpredictable performance masked by averages.

ENGAGEMENT CHARACTERISTICS

  • Decision-support only

  • Non-financial, non-accounting

  • Rapid diagnostics with targeted rebuilds

  • Often paired with Operational Intelligence, Production Flow, or Turnaround domains

  • Designed to restore trust in leadership data

DOMAIN BOUNDARIES & COMPLIANCE

Operational data integrity and execution modeling only.

This domain does not include:

  • Financial statement analysis

  • Pricing, margin, or cost accounting

  • ERP implementation or software resale

  • Licensed engineering services

  • Regulatory or compliance certification

No outcome guarantees.
Data integrity and decision-support architecture only.

All engagements are conducted in accordance with U.S. export control requirements, OFAC regulations, and global anti-corruption frameworks.

NEXT STEP

If leadership cannot trust the data driving decisions, execution will remain unstable.

Initiate Operational Data Integrity Assessment →