Data analytics finds the patterns hiding in your numbers. We clean and join your data, then run the analysis that answers real questions: which customers are worth most, where revenue leaks, and what to do about it. You get findings in plain language, not a wall of charts.
Raw data rarely speaks for itself. Spreadsheets pile up, exports do not line up, and the answer to a simple question takes days to dig out by hand.
We do the unglamorous work of cleaning and joining your data, then run the analysis that matters and explain what it means. You get clear findings and a recommended next move, not just another chart to interpret.
A sprint begins by pinning down the question precisely: not just which customers are valuable, but how value is measured and over what window. We then pull the relevant data, reconcile mismatched exports, and check the figures against something you already trust so the analysis rests on numbers you recognise.
The analysis itself is matched to the question. That might be cohort and retention work, customer segmentation, revenue and margin breakdowns, or a forecast with the assumptions written out. You receive the findings, the reasoning behind them and a documented method, so the result can be questioned, repeated and trusted rather than taken on faith.
Insight compounds when the cleaning and joining logic is reusable. The next question runs against the same prepared data, so each sprint gets faster, and the segments and definitions we establish carry across into your reporting and future deep dives.
One or two priority questions answered
Steady analysis as questions arise
Forecasting and modelling work
BI consulting builds the ongoing dashboards and reporting layer. Data analytics digs into specific questions to find answers, often as a one off sprint. The two work well together.
Once we have access and the question is agreed, a focused sprint usually returns findings within a couple of weeks. Heavily fragmented or messy data adds preparation time, which we scope before we start so the timeline is clear.
No, it is the norm. Cleaning and joining messy data is part of the work, and we scope it up front so there are no surprises.
Yes. Our advanced analytics work covers forecasting, segmentation and scenario modelling, with the method documented so you can trust the result.
Clear findings, the recommendations that follow from them, and any dashboards or models we built, all owned by you.