Our business intelligence consulting is for companies whose teams have more questions for the data than capacity to answer them. In our BI consulting we design and implement the KPIs, definitions and analysis structure on one unified foundation, so everyone steers by the same numbers.
“Most teams don't have a dashboard problem, they have a definition problem. Only once marketing, finance and sales calculate the same metric the same way is the first dashboard worth building.”
Bianca
Managing PrincipalFor us, business intelligence starts with getting the KPIs, definitions and analysis structure right. Dashboards, reporting and deep-dive analysis then rest on one unified data foundation. Four building blocks work together.
We design your KPI system, the metric definitions everyone agrees on and the analysis frameworks that connect numbers to decisions. Where marketing, finance and sales calculate differently today, we settle on one definition per KPI before any tool is touched. You end up with a documented KPI system, written-down metric definitions and the analysis frameworks your teams steer by.
In one project the steering document listed around 25 KPIs. We started with four, led by a utilisation figure that looks ahead.
Dashboards that let your business teams answer their own questions. We build fast, maintainable dashboards in tools like Lightdash, Power BI, Looker, Tableau or Metabase, on the agreed definitions and with curated numbers everyone can trust. You get production dashboards and reporting, documented so your teams can work with them on their own.
We like to build dashboards as a hierarchy, with each level seeing the aggregated KPIs of the level below.
dbt models turn raw data into clean, tested metrics. KPIs like CAC, churn or conversion update automatically every day. This is the unified foundation that reporting and analysis build on. You get a tested, documented dbt project in which your agreed KPI definitions live as code.
A consolidation of several entities across different accounting systems can live in dbt the same way, with documented rules your team maintains itself.
When a question goes deeper than any standard dashboard, we analyse it directly, for example which products really make a margin or where appointments stay open. You get answers your team can turn into decisions, with the analysis behind them.
For example your own marketing attribution in the warehouse, or a marketing mix model that calculates budget scenarios per channel.
Our business intelligence consulting usually starts with a short discovery, with interviews and a review of the source systems. It ends with a prioritised KPI set with written definitions, a list of terms your team still needs to settle and a recommendation for the technical next step.
Five clients, five starting points: here is what BI consulting looks like in practice at Gemma Analytics.
Fast, maintainable Lightdash dashboards give every team direct access to reliable, curated numbers, plus an AI interface for questions in natural language.
Automated clinic reporting with live dashboards replaces the weekly manual Excel update.
Stock across warehouses, manufacturers and systems in a single model, plus one true margin per product instead of one blended number.
Analysis, reporting and planning moved out of spreadsheets: the team now answers its own questions in Lightdash dashboards.
An AI-powered churn score replaces the old rule-based risk score and shows the churn probability of every customer in the account dashboard.
Does any of this sound familiar? Then a conversation about your data analysis and reporting is worth having.
Marketing, finance and sales report different numbers for the same KPI because the definition was never agreed, and nobody knows which one to trust.
Numbers live in spreadsheets, get updated by hand once a week and are out of date again by Friday.
KPIs like CAC, channel conversion or churn cannot be tracked efficiently because they are not defined once and the processes behind them are manual.
Without agreed KPIs and a clear analysis structure, every question becomes a new request: there are more requests than capacity, and decisions wait on dashboards.
Without curated KPIs and technical help, non-technical teams find no quick answers to business questions.
Leadership sees one blended P&L number, and below it every product is a question mark.
Budget owners never see their own actuals, and the management report gets built by hand every month.
Revenue from several billing systems cannot be split cleanly into new and existing business.
We work hands-on and focus on results, in four steps. First the numbers and definitions, then the tools.
We spend 30 to 60 minutes on your challenges, your data situation and the questions and KPIs your team steers by.
We agree which KPIs and metric definitions bring the most value, then which dashboards show them and which sources the data comes from. This often starts with a short discovery that covers interviews, a look at the source systems and a recommendation with options.
We build the data models that calculate your KPIs, then the dashboards on top, hands-on, tested and documented, and align every step with your team.
Your teams work with the numbers and dashboards themselves. Where it helps, we also cover interim roles in your data team. At one client we carried the analytics work until their first analyst joined, then supported her.
We work with these tools, among others. Which ones fit depends on your setup.


70+ successful projects in six years, a senior team of 20 based in Berlin.
Book a free discovery call: 30 to 60 minutes, focused on your challenges.