Teqtron
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Data & analytics

DATA & ANALYTICS

ERP Data Architecture

Reliable analytics starts with a clean data foundation.

Insight is only as good as the data underneath it. Teqtron designs the ERP data architecture, lineage, and system of record boundaries that make enterprise data trustworthy, drawing on years spent inside SAP, Oracle E-Business Suite, and the integrations that connect them.

WHAT THIS COVERS

System of record design

Canonical data modeling

End to end data lineage

ERP and platform integration

OVERVIEW

We know where your data lives, because we built the plumbing.

Most analytics problems are really data problems. Reports disagree because the same record exists in three systems with three different values. A dashboard is wrong because no one agreed which system owns the truth. Decisions get made against numbers no one fully trusts. None of that is fixed with another visualization tool. It is fixed by getting the architecture underneath right.

This is where our depth shows. We have spent years inside enterprise ERPs and the middleware around them, establishing clear system of record boundaries, canonical data models, and clean lineage from source to report. We know how product, order, and supplier data actually moves through SAP, Oracle E-Business Suite, and the systems alongside them, which is exactly the knowledge that makes downstream analytics reliable.

THE CHALLENGE

When the same number means three different things.

In a typical enterprise, core data is scattered across PLM systems, ERPs, and a long tail of operational applications, often the result of acquisitions or years of point to point fixes. The same customer, part, or order can exist in several places with conflicting values and no clear owner. Without firm system of record boundaries and traceable lineage, every report becomes a debate, every reconciliation a manual effort, and every decision carries a quiet doubt about whether the data behind it is right.

OUR CAPABILITIES

Architecture that makes data trustworthy.

01

System of record design

We establish clear ownership for each kind of data across your PLM, ERP, and operational systems, so there is one authoritative source for every record and no ambiguity about which value is correct.

02

Canonical data modeling

We design enterprise data models that translate each system's local format into one shared definition, so data means the same thing everywhere it is used and integrations stop multiplying.

03

End to end data lineage

We make data traceable from its source through every transformation to the report or system that consumes it, so any number can be explained and audited rather than taken on trust.

04

ERP and platform integration

We build the clean, reliable data flows between SAP, Oracle E-Business Suite, SAP HANA, and surrounding systems that keep your operational data consistent and current.

SERVICE OFFERINGS

What we deliver on data architecture.

Data architecture assessment

A structured review of where your core data lives, where it conflicts, and where system of record boundaries are missing or unclear.

System of record definition

Clear ownership and authority for customer, product, supplier, and order data across PLM, ERP, and operational systems.

Canonical model design

Shared enterprise data definitions that remove duplication and let systems exchange data without bespoke point to point maps.

Data lineage and governance

Traceability from source to consumption, so every figure can be explained, audited, and trusted.

ERP data integration

Reliable flows across SAP, Oracle E-Business Suite, and SAP HANA that keep operational data accurate and synchronized.

Migration and cleanup

Structured extraction, validation, and cleanup of legacy data during platform moves, with integrity preserved.

THE TEQTRON ADVANTAGE

Data discipline earned inside real systems.

We did not learn data architecture from a textbook.

We learned it untangling multi PLM and multi ERP landscapes, resolving duplicate bills of material, and posting clean transactions into SAP HANA and Oracle through our own integration work.

That hands on depth is why our data foundations hold up, and why the insight built on top of them can be trusted.

MORE IN DATA & ANALYTICS

Operational Insights

Is your data foundation ready for the decisions you make on it?

Request a data architecture assessment