The Foundation Method

Build a Product Data Foundation—one data domain at a time.

The Foundation Method is Digital Fields’ structured approach to making a clearly scoped data domain understandable, trusted and governable.

Shared definitions, rules, sources, quality requirements and accountabilities are established in a documented structure that can be used across functions and systems.

You can begin with Foundation Scan and continue once the needs, priorities and business value are clear.

The Foundation Method is the overarching approach: a clearly scoped data domain is mapped, standardised and given a clear structure for ongoing governance. Material Data Assurance is a concrete application of the method to material data.

The three parts

From current state to a foundation that lasts.

The parts build on each other, while each also delivers a useful outcome in its own right. The method can therefore be used step by step or as one coherent engagement for a selected data domain.

One selected data domain · approximately 2 weeks

Foundation Scan

Understand the current state and set the right priorities.

A focused review of data, structures and ways of working within one selected data domain. We examine where data is created, changed and compromised and assess it against relevant rule sources.

The work includes

Rule checks against relevant sources
Structural review of fields and values
Process review: where data is created, changed and compromised
A measurable baseline for quality and risk

You receive

A prioritised view of deviations, a measurable baseline and a decision basis for what needs to be standardised within the domain.

Discuss the service

One selected data domain · approved standard

Foundation Standard

Make the right data the easy choice.

The current-state assessment is turned into a practical, business-specific rule set for the selected data domain.

The work includes

Data requirements specification
Definitions and permitted value lists
Ownership and decision mandates
Validation rules and quality gates

You receive

An approved master data standard for the domain that can be used in processes, systems and ongoing quality management.

Discuss the service

One selected data domain · ongoing stewardship

Foundation Stewardship

Keep the standard current—and the data trusted over time.

As assortments, suppliers, regulations, systems and working practices change, the data must be monitored and the standard kept current.

The work includes

Monitoring of relevant rule sources
Recurring checks against the approved standard
Follow-up of deviations and quality trends
Initiation of corrective actions and interpretation support

You receive

Continuity and specialist expertise at the level you need, without requiring business experts to carry the ongoing quality workload.

Discuss the service

What the foundation enables

More than fewer errors.

A strong product data foundation provides more reliable evidence for customer responses and sustainability claims, better conditions for AI and automation, and lower implementation risk. When definitions, sources and quality rules can be reused, each new initiative does not have to begin with another round of interpretation and control.

Data domains

One concrete, clearly scoped domain at a time.

A data domain is a coherent area of data with its own definitions, rules and accountabilities. The Foundation Method is applied to the domain you select.

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Material Data

The first data domain offered through the full Foundation Method.

The method can also be applied to other clearly scoped areas of product data where shared definitions, rules and accountabilities need to be established.

The Foundation Method in practice

Material Data Assurance

Material Data Assurance applies the Foundation Method to a clearly scoped area of the material library. The review provides a documented basis for identifying deviations, making corrections, establishing shared rules and maintaining the data over time.

Learn more about Material Data Assurance

Next step

Begin with one clearly scoped data domain.

An initial conversation can identify the data area with the greatest risk or business value and whether Foundation Scan is the right starting point.

Book an initial conversation