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Data Governance

We work with you to create successful operating governance that covers Data Quality remediation, Data Ethics concerns, Data Security, Data Privacy and Data Protection.

How does data governance support business value?

  • Embedding a data governance framework that covers data quality, data security, data privacy and data ethics creates a trusted reputation. It promotes to your clients and their customers that their data is safely managed and ethically applied.

    Creating the lines of communication and accountability to improve your data assets can greatly improve collaboration and innovation. Knowing who is responsible for your datasets and how to get access and ensure data is used correctly benefits the entire organisation.

  • Highlighting data quality issues and solutions to a dedicated senior leadership team can reduce wasted effort from expensive data science talent or reduce the cost of bad customer experience due to poor information held in operational systems.

    As data is constantly being added, manipulated and stored its sometimes hard to see where it has come from, where there are copies and how long they are kept. Creating the standards, guidelines and policies that manage all of this can create clarity and speed up the change process.

Explore Our Data, Analytics and AI Services

  • Data, Analytics & AI

    Data is at the heart of an organisation’s digital transformation. We can help you overcome challenges to deliver the right data to support your business.

  • Analytics & AI

    We help you to measure performance, discover insights & trends and enable automated action through the use of machine learning and other AI practices.

  • Data Management

    We help you manage metadata, master data and transactional data across the data lifecycle. We can support your change initiatives or operate managed platforms.

  • Close up ux developer and ui designer brainstorming about mobile

    Data Strategy

    We work with you to align business priorities, objectives and initiatives with data maturity goals and targets. Producing recommendations, best practice and costed roadmaps.