Data Analysis
Examine business records to understand patterns, exceptions and the questions that need further investigation.
Bring scattered business data into a clearer picture, with consistent measures, useful dashboards and reporting built around the decisions you make.

A dashboard should answer a question. If it only adds another screen to check, it has missed the point. We start with the decisions your team needs to make, agree what each measure means and examine the source data. The reporting then has a defined owner, a clear refresh cycle and enough context for people to use it responsibly.
Discuss your requirementThe scope is shaped around your systems, your information and the work you need to do.
Examine business records to understand patterns, exceptions and the questions that need further investigation.
Create focused reporting views for operational and leadership teams, with suitable access and refresh requirements.
Choose charts and layouts that communicate comparisons, movement and uncertainty clearly.
Agree metric definitions, sources, owners and reporting frequency so the same number means the same thing across teams.
Use historical information to explore future outcomes, with clear assumptions and performance checks.
Connect analysis to a decision process, including the action to take, the evidence needed and the person accountable.
Examples of suitable use cases, to help you think through your own requirements and decide whether there is a worthwhile starting point.
Replace repeated spreadsheet assembly with a consistent view of current activity.
Bring important business measures together with the context needed to interpret them.
Trace conflicting reports to their source and establish shared definitions.
Deliverables are agreed before work begins. A typical engagement may include the following, adjusted to the scope and complexity of your project:
Bring the reports you already use, the questions they leave unanswered and an overview of the source systems. A small sample of data helps identify quality and integration issues early.
Talk through your ideaYes. Spreadsheets can be a useful starting point when their structure and quality are understood. We also assess whether a more dependable source or reporting process is needed.
Refresh frequency depends on the source systems and the decision being supported. Many business questions are better served by a dependable daily or scheduled refresh than continuous updates.
Access can be designed around roles and the capabilities of the selected platform. Sensitive measures and underlying data need to be considered together.
Use your historical data to build models for prediction, classification and recommendations, with evaluation that reflects how the model will be used.
Explore serviceBuild AI applications around a clear business task, with the right data, practical controls and a useful place in your existing workflow.
Explore servicePractical technology training for professionals and organisations, shaped around current knowledge, useful exercises and clear learning goals.
Explore serviceTell us what is slowing you down, or what you want to do next. A short description of your business question is all it takes to begin.