Project Overview
A bespoke analytics visualisation product translating complex IBM SPSS statistical models into clear, decision-ready dashboards for non-technical stakeholders at a data science consultancy.
The Challenge
CoreBrand's data science team was producing rigorous statistical models in IBM SPSS, but the inferences were stuck inside CSV exports and static slide decks. Brand and marketing leaders could not consume the insights at the speed the business demanded, and decisions were drifting because the data was not where the conversation was happening.
Our Approach
We built a custom visualisation layer on Google Data Studio with a structured pipeline that ingested SPSS outputs and rendered them as interactive, decision-ready dashboards. Comparative cuts, statistically significant deltas, and trend signals were unified in a single executive view. The data-to-insight discipline established in this engagement is the same foundation that the AI-driven analytics products we build today extend.
The Outcome
Brand decisions that previously cycled for weeks between data science and marketing closed within days. The product became the consultancy's default interface to its own statistical work and gave non-technical stakeholders direct, self-serve access to inferences.