What analytics clients actually need
A company wanting analytics usually has data in an accounting system, a CRM, a warehouse system and several spreadsheets, none of which agree. They imagine buying dashboards and actually need data engineering first. Firms that lead with visualisation examples attract clients who then discover the project is mostly plumbing, which produces disappointment. Buyers also cannot evaluate an analytics firm without seeing what a delivered dashboard looks like.
What we build for an analytics firm
First, use cases by business function with the decisions the analysis supports, since dashboards without decisions are decoration. Second, data engineering capability stated up front, because that is most of the work and setting the expectation prevents the disappointment. Third, example dashboards from real projects, which is the only way a buyer can evaluate you. Fourth, pilot projects with a defined question and scope, the realistic way these engagements begin.