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Data governance

A practical approach to Data Governance

With the right data governance strategy, you can be confident that your data is being managed to the high standard you need to make good decisions and drive data-led initiatives successfully.

Data governance has long been considered the center of most other data management disciplines. Without it, your MDM, PIM, analytics, integration, data quality and architecture efforts won't provide as much value as you hoped. Amplifi offers data governance services from the advisory stages through to implementation and support.

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a critical capability

Why data governance matters now

Data governance provides the framework for trusted data, and trusted data is the foundation for AI.

Data governance is not one practice but a collection, spanning the people, processes and technology that determine how data is owned, defined, managed and used. As such a broad practice, there is no one-size-fits-all approach; each company that comes to us has different priorities.

As AI becomes increasingly embedded within business operations, governance is no longer just about managing risk. It is about creating the trusted foundation that allows people, systems and AI to discover, understand and confidently use information to drive measurable business outcomes.

The center of data management

MDM, PIM, quality and analytics all deliver more value when governance is in place.

AI-ready by design

Clear ownership, definitions and quality controls are what make data trustworthy enough for AI.

Governance is a means, not an end

Most challenges around data, including manual work, poor communication and silos, come down to a lack of management of data. Governance is how you fix that at source.

business challenges

Do any of these sound familiar?

Governance touches everything, so everything feels like a priority. Without a way to prioritize against business goals, the roadmap never gets written.

Unclear ownership, inconsistent definitions and poor visibility of data quality undermine confidence in decision-making and analytics.

Business leaders cannot imagine or tangibly understand the benefits of governance, so it struggles for funding, sponsorship and attention.

Getting people to adopt new ways of working, and stick to them, is difficult. Frameworks get designed, then quietly ignored.

our clients

Which leading brands have trusted Amplifi with their data and AI?

Guide download

5 tips for better Data Governance

Discover 5 practical Data Governance tips to improve data trust, strengthen decision-making and build a sustainable governance strategy by aligning people, processes and technology.

our approach

A data governance journey with Amplifi

Our specialists support the full journey, from assessment and operating model design through implementation, adoption and continuous improvement.

01

Strategy & Advisory

Our advisory service is strategic. We help you understand what you really need from a data governance strategy, assess your current position and discover where you want to be. This allows us to create a bespoke implementation plan, which might include maturity assessments, high-level framework design, roadmap and strategy creation, technology selection and organization design.

02

Implementation & Integration

In the advisory stage we gain a full understanding of your vision, and use our findings to design a relevant framework tailored to your requirements. In implementation, we aim to leave you with a functional data governance framework you can roll out, safe in the knowledge it has been created with your business goals in mind.

03

Managed Services & Support

A data governance framework from Amplifi is entirely unique, so our continued support helps you adapt as your business grows, making sure your framework evolves with your business rather than restricting it. This can take the form of health checks, audits, facilitating data governance boards, support for metadata management tooling, training and more.

Featured case studies

NCFE: Strengthening architecture and governance capabilities with Microsoft Fabric and Microsoft Purview

Amplifi supported NCFE in transforming data governance and reporting, enabling scalable architecture, faster compliance reporting, and improved data quality across the organisation.

a critical capability

Why do you need data governance

Data governance is central to most other data management disciplines. But what benefit does it provide when working alongside other data systems?

  • 01

    Data quality

    Data governance and data quality go hand in hand. Quality is a combination of tooling, people, processes and how individuals interact with data and each other; governance provides the framework for high data quality.

  • 02

    Value

    Governance combines people, process, technology and data into simple frameworks any organization can adapt, improving efficiency and ultimately data quality.

  • 03

    Efficiency

    Most challenges around data, including manual work, bad communication and silos, are due to a lack of management of data. A governance framework improves efficiency in day-to-day work.

  • 04

    System implementation

    Data systems are expensive, especially if the data being inputted is poor. Strong governance gives you reassurance that any system you invest in will be as helpful as possible.

  • 05

    Decision making

    With a governance framework in place, you can make decisions based on your data systems, safe in the knowledge that your tooling and data are of high quality.

  • 06

    Reduce costs, increase revenue

    When done right, business efficiency rockets and you notice the benefits to the bottom line.

why work with us

How can Amplifi help with data governance?

As leading data governance experts, Amplifi's primary aim isn't to strategize but to implement, through change management and immersive coaching of individuals and groups. Our focus is on ensuring our framework has the desired effect through practical and achievable recommendations tailored to how your business is structured and its goals.

Implementation, not just strategy

We don't believe in being invasive and pushing our knowledge onto you. This has to work for your organization long term, so we embed improvements tactically and coach your people to own them.

Tailored best practice

At the center of our approach is tailoring best practice to your organization. There is no one-size-fits-all; each framework we build is unique to your priorities, structure and goals.

Governance that makes everything else work

Data quality, MDM, PIM, analytics and system investments all deliver more when a governance framework sits beneath them. We design governance to lift the value of what you already have.

Designed for the AI era

We help organizations establish the foundations required for trustworthy, explainable and scalable AI, while ensuring investments also improve wider data and knowledge capabilities.

insights

Further reading

Opinion
How Data Governance is evolving Arun Chandar, VP Strategic Service Development explores how data governance is matching pace with the rest of the industry, adapting and evolving with change. Learn how good governance allows you to align with business goals, manage AI risks, and leverage metadata.

FAQs

You ask, we answer.

The questions we hear most from data and AI leaders, and how we approach them.

Data governance focuses on ensuring data is trusted, understood and managed effectively. AI governance focuses on ensuring AI systems are used responsibly, transparently and safely.

AI depends on trusted information, clear accountability and strong metadata. Without these foundations, organizations struggle to scale AI effectively and responsibly.

Metadata and knowledge provide the context that helps people and AI discover, understand and use information. They are critical enablers of modern governance.

No. Modern governance is about enabling trusted decision-making, improving productivity, accelerating innovation and creating measurable business value.

Most organizations benefit from understanding their current governance maturity, business priorities and AI ambitions before defining a roadmap. A Governance Maturity Assessment is the usual first step.

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