How to make data-driven decisions within local government Organisations

Introduction:

Local authorities hold vast volumes of data but turning that data into meaningful outcomes for residents remains a challenge.

Local authorities are not short of data; they are short of trusted, actionable insight.

For Chief Information Officers and Chief Data Officers in local government, the question is no longer whether data matters, but how to use it to deliver measurable improvements in services, efficiency, and transparency. Local authorities are also operating under increasing financial pressure, with many councils facing significant funding gaps in the coming years. This makes the effective use of data not just a strategic priority, but a necessity for sustainable service delivery.

Becoming data-driven is not about implementing more tools or building more dashboards. It starts by aligning every data initiative to clear public service outcomes and ensuring the organisation has the people, governance, and foundations to deliver.

Too often, data programmes promise transformation but struggle to demonstrate impact. In our experience, this is rarely a technology problem - it’s a clarity, governance, and delivery problem.

In this article, you will learn how to:

• Align data initiatives to clear service outcomes:

  Defining measurable KPIs that reflect value for local residents, not technical success

• Strengthen your data foundations:

  Integrating, cleaning, and structuring data to enable reliable decision-making

  
  

• Embed governance, trust, and compliance by design: Ensuring data is managed responsibly and confidently across the organisation

  
  

• Enable people and culture change:

  Building data literacy and adoption across teams, not just implementing technology

  
  

• Make practical technology and delivery decisions: Balancing ambition with budget, risk, and operational constraints

  
  

1. Start with outcomes, not programmes.

One of the most common challenges we see in local government is this:

Data programmes are framed around delivery milestones, not outcomes. Senior leaders need to reverse this. Instead of asking “What platform are we implementing?”, the starting point should be: “What service outcome are we improving and how will we measure success?”According to the Local Government Association’s Better Use of Data Programme, councils that improve their use of data are better positioned to enhance service design, accountability, transparency, and operational efficiency.

That could be:

• Reducing case processing time

• Improving access to services

• Lowering cost-to-serve

• Increasing data transparency across teams

The key is to define one clear outcome metric that acts as a decision-making anchor across the programme. Without this, delivery can quickly drift into technical activity, with little visibility of real impact.

2. Fix the data foundations before scaling ambition.

Across local government, data is often fragmented across multiple systems, locked within departmental silos, and inconsistent in structure, quality, and ownership.

This is where many transformation ambitions fail. This is not because the vision is wrong, but the foundations cannot support it. Industry research consistently shows that many local authorities are still in the early stages of data maturity, with challenges around data quality, integration, and standardisation limiting their ability to generate reliable insight.

Before investing in AI, leaders should focus on getting the fundamentals right first. That starts with establishing a clear view of the data estate and ensuring it is connected so that priority data is shared, where appropriate, across services.

But understanding the data and sharing it are just a start point. There needs to be an ongoing process to improve data quality through validation and standardisation, while ensuring security is controlled across all data access points.

The goal is not perfection - it’s trust.

If frontline teams and leadership do not trust the data, it will not be used, no matter how advanced the platform.

3. Governance and people.

Governance is often perceived as a compliance exercise rather than an enabler of better decision-making. In practice, it is a delivery enabler, if designed properly of course.

For local government, effective governance should:

• Clarify ownership of data across services

• Define how data is accessed, used, and protected

• Embed privacy and compliance from the start (not retrospectively)

• Support decision-making rather than slow it down

  
  

However, governance alone is not enough. The real differentiator is people capability.

In one of our podcast episodes, 'Is Resourcing Breaking Your Project?', we explore how resource constraints and capability gaps are often the underlying reason transformation programmes struggle to deliver, even when the strategy and technology are in place. As James said,

This is something we regularly see in local government: data initiatives are prioritised, but the teams responsible for delivering them are often stretched, under-resourced, or not fully equipped to adopt new ways of working.

That is why successful organisations invest not just in platforms, but in:

• Building data literacy across operational teams

• Supporting change through structured engagement

• Ensuring the right skills and capacity are in place to deliver

• Encouraging leadership to actively use data in decision-making

  
  

When people understand, trust, and have the capacity to work with data, it becomes embedded in how services are delivered, not treated as an additional layer of complexity.

4. Modernising legacy systems

Local authorities cannot afford large-scale disruption, yet legacy systems continue to consume budget and limit agility.

The most effective approach is not wholesale replacement, but targeted modernisation.

In practice, this means:

• Identifying what data must be retained for compliance

• Separating active operational data from historical records

• Archiving inactive data securely while keeping it accessible

• Migrating priority systems in phases

• Replacing systems only where there is a clear service benefit

This approach reduces risk while creating early cost efficiencies and freeing up budget to reinvest into higher-value initiatives.

At binary10, we support local authorities in delivering this in practice through structured data migration, integration, and validation approaches, alongside secure archiving solutions that ensure legacy data remains compliant, accessible, and cost-efficient. Check out more here: LINK

5. Technology decisions.

Technology is frequently positioned as the solution, but technology alone rarely delivers transformation. In local government, success is rarely about the tool itself. It comes down to how well that technology is implemented and governed within real-world constraints. A more effective approach is to take a cloud-first, integration-led route, giving organisations the flexibility to scale without being locked into rigid systems.

Choosing open platforms helps future-proof decisions, while ensuring systems connect directly to trusted data sources removes the need for manual workarounds. The result is not just better technology, but a cleaner, more reliable flow of data that teams can actually use with confidence.

But critically, delivery must reflect reality:

• Large-scale programmes should be broken into incremental, testable phases

• Data must be validated continuously, not just at the end

• Automation of testing and quality assurance reduces long-term risk

• Technical delivery must stay aligned to service outcomes at every stage

  
  

This is where many programmes struggle - not in design, but in execution under constraint.

In practice, successful delivery relies on having the right capabilities in place from day one. We support local authorities through structured approaches to data integration, automated testing, and data quality validation, ensuring that issues are identified early and resolved before they impact services.

By embedding testing and validation into the delivery lifecycle rather than treating them as final-stage activities, organisations can reduce risk, improve confidence in their data, and deliver change more reliably within budget and time constraints.

6. Delivering outcomes.

   
   

While national programmes often set direction, the real insight comes from what is deliverable in complex environments.

An example of this in practice is the Matrix Programme, where binary10 supported a UK Government transformation initiative focused on enabling a full ERP shared service across multiple departments.

Working across a complex landscape including Workday, Oracle R12, iTrent, Integra, and multiple legacy systems - our role was to define and deliver both a Data Strategy and Data Migration Strategy at an enterprise level.

Key delivery outcomes included:

• Establishing a scalable, cross-department data foundation, supporting consistent reporting and interoperability

• Improving data quality through structured validation, standardisation, and centralised data processing

• Enabling a repeatable and controlled migration approach, reducing risk across multiple organisations

• Supporting procurement and system integration decisions, ensuring alignment with long-term transformation goals

As a result, the programme achieved stronger transformation readiness, improved visibility of data across departments, and a more reliable foundation for future services.

This reflects a broader pattern we see across local government:

7. A continuous cycle.

Becoming data-driven is not a one-time initiative. It is a continuous cycle of:

• Setting outcomes

• Improving data

• Delivering incremental value

• Learning and refining

Each cycle builds capability and reduces future delivery risk.

Making data work for local government.

For CIOs and Chief Data Officers, the opportunity is clear. Even small, targeted improvements in how data is used can unlock significant value from faster, more responsive services and reduced operational costs, to stronger decision-making and greater transparency. Ultimately, this leads to something just as important: increased public trust. When data is used effectively, the impact isn’t just internal efficiency, it’s better outcomes for the communities local authorities serve.

The organisations seeing the most success are not those with the most advanced tools, but those with:

1. Clear outcomes

2. Strong governance

3. Trusted data foundations

4. Skilled and engaged people

5. A realistic, delivery-focused approach

   
   

At binary10, we work with local authorities to support this journey end-to-end from defining strategy and KPIs, to governance, migration, integration, testing, and capability building.

Our focus is simple:

to make data easier to trust, easier to use, and more effective in delivering better outcomes for communities.

Ready to turn data into measurable outcomes?

Let’s build a roadmap that works within your organisation’s constraints and delivers real impact.

Article by:

Raina Das

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