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Key areas of data enablement 

We help organisations turn data into a reliable source of business value, not another unfunded initiative.

Data strategy & enablement

  • Facilitate learning journeys to make data strategy tangible
  • Translate shared understanding into value-connected data strategies
  • Tackle regulatory, M&A, process and AI complexity
  • Build business cases and secure leadership alignment

Master data framework & governance

  • Comprehensive framework covering modelling, standards, governance, lifecycle, quality
  • Enables agility instead of rigid approval bottlenecks
  • Embeds cross-functional collaboration, automation and principle-based guidelines
  • Calibrated to your maturity, industry and transformation agenda

Data operating model & integration

  • Design operating models integrated with business and IT governance
  • Define decision rights and cross-functional collaboration mechanisms
  • Align data stewardship with ERP, CRM, platform transformations
  • Reduce risk, accelerate time-to-value across systems

Data migration and data validation

  • Translate business goals into clear data requirements
  • Define future-proof framework with governance and quality standards
  • Execute end-to-end migrations ensuring accurate data transfer
  • Enable strong controls, lineage and fit-for-purpose quality
Case

Transforming compliance into business value in the telecom industry​

The project​ 

A European telecom operating across multiple countries and systems struggled with GDPR compliance. Implement designed a pragmatic data governance model, clarified roles and responsibilities, and linked regulatory requirements to business objectives. The work emphasised both what to comply with and how to operationalise it, elevating data quality standards and embedding consistent practices across markets.​ 

The impact​ 

GDPR compliance was achieved and sustained through clear governance and ownership. Streamlined processes improved data quality, reduced compliance risk, and enabled better decisions and customer experiences. The organisation began leveraging trusted data for performance management, demonstrating that disciplined governance can drive business value.​

Case

Global master data strategy and data governance​

The project​ 

A global manufacturer sought a validated master data strategy across all facilities. Implement assessed data quality and processes, prioritised business use cases, and delivered an MDM implementation plan with governance, standards, and root-cause resolution and cleansing procedures to prevent future data quality decline. 

The impact​ 

A clear MDM roadmap and governance improved data consistency, transparency, and decision-making. Standardised processes reduced errors and enabled scalable improvements across plants, creating a reliable foundation for efficient operations and analytics.​

Case

ERP selection and master data implementation

The project​ 

A major services organisation aimed to implement a new Finance ERP, rolling out to core countries and then globally. Implement led requirements for OTC, PTP, RTR, and tax, ran a structured vendor evaluation, selected the implementation partner, and designed standardised processes and a master data setup with governance, standards, quality checks, and CRUD.​ 

The impact​ 

The client secured a fit-for-purpose ERP and partner, supported by standardised finance processes and robust data foundations. Improved data quality, transparency, and ownership reduced delivery risk and enabled an efficient, scalable rollout.​

Case

Understanding assets with a master data strategy and implementation playbook

The project​ 

An energy infrastructure company needed a master data strategy across all domains. Implement defined the ambition, assessed maturity, identified strategic use cases, and created a prioritised roadmap. A practical implementation playbook established governance with data owners, processes, standards, and controls, supported by a data-governance council and clear executive communications.​ 

The impact​ 

Data awareness and reliability improved for asset management and operations. Root-cause resolution and cleansing procedures, combined with executive buy-in and governance, enabled consistent execution and measurable improvements. A central capability now owns an easy-to-use framework for sustained outcomes.​

Case

Enhancing digital product master data for a European retailer​

The project​ 

A global retailer launched a master data programme within a broader digital transformation. Implement designed group master data models for supplier, customer, and products, created a governance framework with defined ownership, implemented Informatica as the global MDM platform, initiated data cleansing, and redesigned data flows across systems and countries.​ 

The impact​ 

Fit-for-purpose master data models and governance improved consistency and accountability. Informatica standardised data management and accelerated cleansing, while integrated data flows increased transparency and efficiency across markets, supporting a durable foundation for future digital initiatives.​

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