DATA
Build trust in your data without slowing your business down
Effective data governance should help people use data with confidence, not create more complexity.
Data governance solutions
Valcon’s Trusted Data Governance Framework helps you simplify how data is governed, strengthen ownership and embed the right controls into everyday working. Combining clear guidance, expert oversight and intelligent automation, we help you protect your organisation while getting more value from your data and AI.
Talk to our data governance consultants
Whatever your challenge, our specialists can help you find a clear way forward. Talk to us about what you want to achieve and how we can help make it happen.
Consulting Director
Richard Hughes
60%
of organisations will fail to realise the anticipated value of their AI use cases due to fragmented data governance.
Source: Gartner
PROGRESS
Governance shouldn’t get in the way of progress
As data volumes grow and AI becomes easier to access, keeping control of how information is used is becoming harder.
Lengthy policies, unclear ownership and manual processes can leave people unsure about what they can do with data, while shadow AI and inconsistent controls introduce new risks. Adding more governance isn’t the answer.
You need an approach that makes responsible data use simpler, strengthens accountability and addresses the risks without creating unnecessary barriers.
Making trusted data governance part of everyday working
Simplify the rules
We turn complex policies, standards and processes into practical guidance that people can understand and follow. Clearer expectations and lines of responsibility make good data handling easier, while training helps embed the right behaviour across your organisation.
Create clear ownership
We simplify governance structures and establish clear accountability for data, helping owners understand what they are responsible for. This creates stronger oversight without relying on large governance teams or slowing decisions through complex approval processes.
Use technology to strengthen control
We use automation and AI where appropriate to discover, classify and monitor data, alert people to risks and guide them towards the right action. Human-in-the-loop oversight keeps expert judgement where it matters while reducing repetitive manual governance activity.
Embed and improve
We pilot the new approach with your teams, combining updated policies and workflows with practical guidance, training and technology. We monitor how it works in practice, refine it around user feedback and help transition governance into everyday operations.
What success looks like
Our Trusted Data Governance Solutions help you:
Trust
Build greater trust in the data and AI your people use
Reduce risk
Reduce regulatory, compliance and reputational risk
Ownership
Make data ownership and accountability clearer
Data risks
Identify and address data risks earlier
Efficiency
Reduce manual effort and unnecessary governance overhead
Value without Compromise
Accelerate value from data and AI without compromising control
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Case Study
Keeping critical Mendix applications secure, stable and business-ready
Situation A leading provider of fuel distribution services needed reliable ongoing support for its Mendix application landscape after the initial development phase. Once the applications were live, the client needed a consistent way to manage periodic updates, user requests, monitoring and bug fixes. Without active support, issues could disrupt production workflows, slow down users and…
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Case Study
Using a cloud platform to accelerate AI and data product delivery in construction
Situation A leading European construction and civil engineering company had ambitions to become more data driven and be able to scale the creation of data and AI products. But building the required data infrastructure and platform manually was not a viable option. The scale of the company’s ambition meant they needed a more better way…
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Case Study
Faster project delivery and stronger forecasting for a leading energy infrastructure provider
Situation A leading provider of Denmark’s electricity and gas transmission was dealing with rapid growth and greater complexity in its external environment. Its technology infrastructure was growing rapidly to deal with these challenges, but its project execution capability was limited and not growing at the same rate. As a result, these pressures were exposing issues…
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Case Study
Improving delivery control for major railway renewal projects
Situation A leading provider of railway infrastructure management was responsible for complex railway renewal projects. It needed to improve control over the projects that were running late and were over budget, due to problems with project delivery. Teams needed a systematic way to track progress and spend, understand where any work was being blocked and…
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Case Study
Creating programme visibility during a large-scale banking separation
Situation A leading provider of financial services and customer credit products in the UK retail sector needed to build its own banking capability while migrating customers away from its parent bank within a fixed timeframe. The separation involved multiple stakeholders, third parties and interdependent workstreams, creating the need for greater programme control, stronger governance and…
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Case Study
Building a product-centric data, analytics and AI operating model in the defence industry
Situation A leading defence organisation’s technology function was not delivering the expected business value. Inconsistent processes, inefficient delivery and embryonic data, analytics and AI maturity were creating complexity and limiting the organisation’s ability to function as effectively as it might. The company needed a product-centric operating model for data, analytics and AI that could reduce…
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Case Study
Building a scalable data platform for BI, data science and AI use cases in the construction industry
Situation Our client, a leading European construction company, had several classic data warehouses to house its data. But this set up was limiting its ability to share data and scale new use cases across the organisation. To become more data driven, the business needed a platform that could support its existing reporting requirements, while creating…
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Case Study
Building a clear data roadmap for governance and security in the heating engineering industry
Situation A leading provider of heating and hot water solutions needed a clearer view of how its data could support its business goals and also needed help to make better use of its new data platform. The company lacked a clear vision and strategy for its data. It needed to define how it wanted to…
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Case Study
Building trusted product data to reduce regulatory risk and improve sales visibility
Situation A leading provider of assistive products and solutions for mobility, patient handling and daily living needed stronger control of its product data as the sector’s regulatory demands increased. Due to fragmented systems and data repositories, the company did not have a clear view of where the relevant data was held across systems and subsidiaries…
WHY VALCON
Why organisations choose Valcon
At Valcon, we combine consulting, data, technology and AI expertise to make governance practical.
We bring together governance principles, regulatory understanding and modern technology to create an approach that works in the real world. The result is governance people can follow, controls that can scale and trusted data that supports your organisation’s ambitions.
Ready to make data governance work harder for you?
Whether you’re dealing with complex policies, unclear ownership, growing AI use or increasing regulatory demands, we’ll help you create a trusted data governance approach that protects your organisation while making data easier to use.