Need to use your data better? Calon helps create strategies to make your business data count

Data strategy solutions tailored to every stage of your business journey

  • Need to get started?

    We start with your C-level to get them thinking about your metrics and the data behind them, and set up the weekly meetings that drive this top down.

    We then support you with setting up the team coordinating data quality issue resolution, ongoing metrics review and refresh and so on.

    We then set up the technology, processes and teams so that you don’t spend a week preparing to become data driven

  • Sounds familiar? you’ve started out doing some data initiatives but while it’s not a total failure, there are some things missing.

    Our Strategy Refresh services help you make the changes you need to course correct to align the metrics you need with your data. We help you define the business processes that you need in order to change the way you work.

    We set out a simple architecture approach to automate all the data transformations you need to get insights out of your systems.

  • Spent a silly amount of money on a traditional architecture-centred data strategy but haven’t seen the results you expected?

    We can help you turn this around.

    Often what has happened is your previous data strategy, despite being sold as ‘driven by business’, is a strategy for the data organisation, not a ‘business strategy based on data’ for the rest of the business.

    We help you become data driven, top down, with C-level coaching and ongoing guidance, as well as providing data technology services so that you don’t waste time collecting data manually.

    This needs senior engagement to be successful.

    We help you become data driven from the top down, starting with your weekly C-level meetings, and then cascade.

    We automate the creation of the metrics, the technology, as well as implementing the checks and data quality resolution issues that you will face.

  • Our ‘What about AI?’ services help you drill into your processes and determine where to focus your efforts, whether building or buying.

    Through a combination of workshops process analysis and coaching sessions we determine the automation opportunities across your company

    You end up with a clear set of opportunities with a recommendation on buy and build for each

  • Wherever you need mentoring or coaching support, we can provide it, whether you need a formal program or informal ‘sparring’ sessions.

    Defining your priority metrics?

    Determining who is responsible for fixing incorrect data?

    Running a weekly data-driven review of the business?

Why we’re different

Calon does data strategy differently to most consultancies.

Most data strategies we see at clients are focused on the data function. They talk about how the data function is going to operate to serve the business. They talk about the tools, process and organisation within the data function.

We believe this is not enough.

The data strategy should be about the business and how it uses data to drive decisions and actions based on insights.

And that starts at the top, with the CEO and their direct reports

Connect your business goals with your data. Calon data strategy services enable:

Insights

Determine your north star and other key output metrics and the controllable input metrics that really matter to achieve your goals

  • Know what activities influence which outcomes by creating a metric tree that highlights how metrics and KPIs are related

  • Know what matters for each metric value - whether it is an outlier, or at risk of missing a target

  • Clearly agree how metrics and KPIs are defined, calculated, tracked and redefined

People

All data topics start with people - whether it is managers or operators using metrics to make decisions, front line employees entering correct or incorrect data, data analysts and engineers who build the technology that moves and integrates data, and the people who decide what ‘true’ is.

  • Gain clarity on roles and responsibilities for end to end data, metrics and AI topics

  • Align accountability for data quality with the people at C/C-1 level who are responsible for reporting the metrics

  • Set up the cross functional teams and working groups needed to ensure data in source systems is right

  • Improve skills, ways of working and ownership

  • Embed data-thinking in front line teams

Integration

Create an integrated data model that allows you to share metrics and insights across geographies, functions, product lines and departments.

  • Avoid repetitive manual work and copy and paste by creating a single integrated view of your data that all systems can pull from

  • Ensure everyone is using the same definitions of calculations by assigning rules early on in the flow

  • Determine the technology needed to make this happen

  • Set standards for how data should flow between systems

  • Create clear data access rules so teams can easily find and use what they need

Process improvement

Ensure you have processes around metric management, data quality issue resolution, data engineering and insight generation and action.

  • Management processes such as weekly business reviews driven by metrics is the first step to really becoming data driven

  • Optimising your planning and forecasting whether, commercial, S&OP or FP&A using consistent data

  • Embed data management and quality processes to ensure you are making decisions based on true data

Trust

Implement levers that help you trust the metrics and data you are using to make decisions and improve your sense of your company

  • Ensure someone is taking responsibility for quality and trust for each metric by assigning sensible responsibilities and ownership

  • Embed ‘trust by design’ with the right checks and resolution measures throughout

  • Regular validation of metrics against real-world outcomes to verify accuracy

Innovation

Create a plan to embed data-led innovations such as AI agents, generators and chatbots by building new functionality or buying services that drive your business forward in new ways

  • Make AI-led innovation safer by determining clear business goals

  • Set up guardrails and output metrics so you can follow progress

  • Identify high-value use cases where AI and automation can transform core business processes

  • Monitor emerging AI technologies and assess their strategic fit with your business goals

  • Design feedback loops to continuously improve AI systems based on real-world performance