Data and Analytics
Getting your data into a state where it can be trusted, then turning it into reporting people actually read. Often the necessary first step before any AI project is worth starting.
The situations this addresses
- Numbers that disagree depending on who produced them
- Reporting assembled by hand from several exports
- Decisions made on figures that are weeks old
- Data spread across tools with no shared definition
- No visibility of the metrics that actually matter
Specific capabilities
A scope is assembled from these based on what your situation actually needs — not all of it, and rarely in this order.
Foundations
- Data collection and cleaning
- Data transformation and migration
- Database and schema design
- Data pipeline development
- Data quality audits and reconciliation
Reporting
- KPI and executive dashboards
- Sales, marketing and operations reporting
- Financial and support dashboards
- Automated recurring reports
- Analytics tracking setup
Analysis
- Customer segmentation
- Funnel and lead analysis
- Churn analysis
- Forecasting
- Natural-language questions over your data
How this shows up day to day
Described as capabilities of the systems we build. These are not case studies, and no client results are implied.
One agreed set of figures
Shared definitions and a single pipeline, so the sales number means the same thing in every meeting.
Dashboards that answer a question
Built around the decisions you actually make, rather than every metric the source system happens to expose.
Questions asked in plain language
Ask for a breakdown in words and get a grounded answer with the underlying query shown, so the result can be checked.
What tends to go alongside this
MCP and Integrations
Most AI projects fail on plumbing, not intelligence. We connect your CRM, calendar, database, storage and finance tools so information moves between them — including through MCP, an open standard for giving AI tools controlled access to real systems.
Helps with: business data scattered across tools that do not talkAI Agents
An AI agent is software that can read context, decide what to do next and take a defined set of actions. We build agents with narrow, explicit permissions — and a human in the loop wherever a decision carries real consequence.
Helps with: knowledge locked in documents nobody has time to readAI Websites and Web Applications
Websites, portals and internal tools built to be fast, accessible and maintainable. Where AI genuinely helps — search, drafting, triage — we build it in. Where it does not, we leave it out.
Helps with: an outdated site that undersells the business
Let’s talk about data and analytics.
Describe the process you have in mind. We will tell you plainly whether this is the right fit, what it would involve, and what it would not solve.