Services
Practical Data Services That Enable Operations
Our services cover the full master data lifecycle - from assessment and governance to cleansing, enrichment, and measurable business value.
Master Data Management
Structure, ownership and trust at the core of your business data.
Master Data Management forms the foundation of reliable operations, compliant processes and meaningful analytics. We help organisations design, govern and operationalise master data so that it consistently supports business processes across procurement, supply chain, finance and customer-facing functions.
Our MDM services focus on defining what your critical business data is, who owns it, and how it is created, maintained and consumed across systems. We work across vendor, customer, product, material and related master data domains, aligning business requirements with ERP and enterprise platforms.
Rather than imposing rigid theoretical models, we design governance frameworks that fit your operational reality - balancing control with efficiency. This includes data ownership models, stewardship roles, approval workflows and quality standards that are practical and enforceable.
We are tool-agnostic and ERP-aware, ensuring that master data structures support both current systems and future transformation initiatives. The result is data that is trusted, auditable and reusable across the organisation.
Client Benefits:
- Reduced operational errors and rework
- Improved compliance and audit readiness
- Faster onboarding of vendors, products and customers
- Strong foundation for analytics and automation
Data Cleansing, Enrichment & Migration
Clean data that stands up to real business use.
Poor data quality undermines system investments, reporting accuracy and regulatory compliance. Our data cleansing and enrichment services ensure that your data is fit for purpose before it enters critical business systems or analytics platforms.
We start with structured data profiling to identify duplication, inconsistency, incompleteness and risk areas. Cleansing rules are defined with business stakeholders to ensure that decisions reflect operational reality, not just technical preferences.
Our enrichment services enhance internal data with validated external reference sources where appropriate - such as supplier identifiers, classifications, addresses or regulatory attributes. This improves reliability while reducing manual intervention downstream.
For ERP or system migrations, we treat cleansing as a business readiness activity, not a technical afterthought. This significantly reduces post-go-live disruption and ongoing remediation costs.
Client Benefits:
- Higher data accuracy and consistency
- Reduced downstream errors and support effort
- Improved regulatory and reporting confidence
- Smoother system migrations and upgrades
Procurement & Vendor Data Governance
Procurement outcomes start with governed data.
Procurement performance is directly influenced by the quality and governance of vendor and procurement master data. We help organisations professionalise procurement data to improve control, transparency and sourcing outcomes.
Our services focus on vendor master data governance, procurement data standards and lifecycle management. This includes onboarding processes, approval workflows, role definitions and policy alignment.
We work closely with procurement teams to ensure that governance supports sourcing agility rather than slowing it down. Clear rules, ownership and accountability reduce risk while enabling better supplier engagement.
Where required, we align procurement data governance with regulatory, ESG or localisation requirements, ensuring that data supports compliance as well as operational needs.
Client Benefits:
- Improved supplier visibility and control
- Reduced procurement risk and compliance exposure
- Better spend analysis and sourcing readiness
- Faster, more reliable vendor onboarding
eSourcing & Supplier Enablement
Data-ready sourcing for better commercial outcomes.
eSourcing initiatives succeed or fail based on data quality and structure. We help organisations prepare their supplier and sourcing data to ensure sourcing events are efficient, competitive and auditable.
We design data structures and templates that support RFIs, RFPs and RFQs, ensuring consistent supplier responses and comparable outcomes. This includes supplier profiles, product or service attributes, pricing structures and evaluation criteria.
Supplier enablement focuses on readiness - ensuring that suppliers understand data requirements and that internal systems can support sourcing processes without manual workarounds.
Our approach integrates sourcing activities into the broader procurement and master data landscape, preventing duplication and fragmentation.
Client Benefits:
- More competitive and transparent sourcing events
- Reduced sourcing cycle times
- Improved supplier participation and data quality
- Better auditability of sourcing decisions
Digital Asset & Reference Data Management
Organised reference and digital data that supports operations.
Beyond traditional master data, organisations rely on reference data and digital assets to support products, procurement and customer engagement. We help bring structure and governance to these often-overlooked data domains.
Our services include defining taxonomies, metadata models and governance rules for digital assets and reference data. This ensures consistency across systems, channels and business units.
We align digital assets with product and master data where relevant, improving reuse and reducing duplication. Governance models ensure that assets remain current, accessible and compliant.
This approach supports both operational efficiency and improved customer or supplier interactions.
Client Benefits:
- Improved data consistency across channels
- Reduced duplication and content rework
- Better alignment between products and supporting assets
- Stronger governance of non-transactional data
Master Data Costing & Value Measurement
Make the cost and value of data visible.
Master data is rarely measured in economic terms, despite its significant impact on operations and risk. We help organisations understand the true cost and value of their master data.
We analyse the cost to create, maintain and correct master data records across systems and processes. This includes manual effort, rework, system dependencies and operational disruption caused by poor data quality.
Using this insight, we quantify the business impact of data issues and build defensible business cases for governance, tooling or process improvements. Metrics and KPIs link data quality directly to operational outcomes.
This service enables informed decision-making around investment priorities and accountability.
Client Benefits:
- Clear visibility into data-related costs
- Strong business cases for data initiatives
- Improved prioritisation of governance efforts
- Executive-level insight into data value
Strategic Partnerships & Solution Providers
