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Power BI, business intelligence and analytics — answered

The questions we are asked most often about our business analytics, predictive analytics and staff augmentation work.

We are a business intelligence and analytics consultancy. We build Power BI dashboards, design reporting and performance analytics frameworks, run market research and competitive intelligence programmes, and deliver predictive analytics models. Where a team needs extra hands rather than a project, we also provide analytics staff augmentation.

Yes. Microsoft Power BI dashboard design and rollout is one of our core offerings — data modelling, DAX, row-level security, gateway and refresh setup, and the governance that keeps a Power BI estate trustworthy as it grows. We also work with other BI tools where a client is already invested in them.

Power BI is where most of our work sits, but our consultants also work across Tableau, Looker and Qlik, plus the underlying data stack — SQL warehouses, Azure and cloud pipelines. We pick the business intelligence tools that fit your existing environment rather than pushing a single vendor.

Staff augmentation means we place experienced analysts, BI developers or data engineers into your team, working to your priorities and your tooling. It suits organisations with a steady pipeline of analytics work but no capacity to hire, or a delivery deadline that has moved closer than the recruitment cycle allows.

Standard reporting tells you what happened. Predictive analytics estimates what is likely to happen next — demand, churn, pipeline conversion, capacity — with a stated confidence level. It is most valuable when the team has already agreed what action a given forecast will trigger.

Yes, on the data side of it. Most digital transformation efforts stall because reporting, data quality and ownership were treated as an afterthought. We work on the analytics foundations — a single source of truth, defined metric owners, and dashboards people actually open — so the wider programme has something reliable to steer by.

Channel and campaign performance, attribution, cost per acquisition, funnel drop-off and customer lifetime value, brought into one view. We usually pair marketing analytics with social listening so that spend data and audience sentiment can be read side by side.

A focused dashboard or reporting build is usually four to eight weeks. Market research and competitive intelligence studies depend on scope and geography, most commonly six to twelve weeks. Staff augmentation runs on a rolling monthly basis. We will give you a firm estimate after a scoping call.

Our consultants work across sectors, with particular depth in life sciences and healthcare, manufacturing, financial services and technology. The analytics methods travel well between industries; the domain expertise is what we bring alongside them.

Send us a note describing the problem you are trying to solve and we will arrange a short scoping call — no cost and no obligation. If we are not the right fit, we will say so.

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