Power BI Case Studies

Three of the four dashboards below are independent demonstrations: they weren't commissioned by the organisations they're styled after, and they run on synthetic or illustrative data. The point of those isn't the dataset; it's the funnel, the drill-through, the filter model and the way a page answers a specific question without burying it in a wall of charts. The fourth, for Signal Maritime, is different and is labelled as such below: it's built on real, anonymized operational data from an actual maritime analytics engagement, not a demo styled after a hypothetical client.

IFC-style talent analytics. Styled after an internal HR platform for the International Finance Corporation, the dashboard is built around the recruitment funnel — Applied → Screened → Interview → Hired — with global filters by job location, application date range and source channel (LinkedIn, careers site, job boards, referrals). One page gives the funnel-level view: gender and education distribution, internal-candidate and relocation breakdowns, and a world map of applicant geography. A second page drills through by Application ID into individual candidate detail — country, education, experience, salary, recruiter and hiring-manager feedback — so a hiring manager can move from "how's the funnel doing this quarter" to "what happened with this specific candidate" without switching tools. The underlying data is fully synthetic.

UNICEF-style audit compliance. Styled after the reporting process of UNICEF's Office of Internal Audit and Investigations, this one is built entirely on mock data across four pages: a home page introducing audit results by category for country offices, mapped on a global view; an audit-overview page filterable by year, implementation status and observation group, with expenditure and status-distribution visuals; a risk map showing audit status by country with a table that stays in sync with the map's filters; and an implementation tracker that drills into a single country office to show its audit history and how many recommendations were made, implemented, or missed over time. The four-page split mirrors how an actual audit-compliance review moves from a global summary down to one office's track record.

IAEA-style water science. Styled after the Global Water Analysis Laboratory (GloWAL) Network coordinated by the IAEA, this dashboard visualises the kind of data that network's member laboratories actually produce: isotope concentration, temperature and pH readings across water types and regions. Filters for region, country, year, water type, isotope type and measurement accuracy sit above time-series charts of average isotope concentration and temperature by date, with a live average pH reading as a headline KPI. The data reflects the typical structure of real laboratory measurements rather than being pulled from an actual GloWAL feed.

Signal Maritime — vessel cargo overview. Unlike the three above, this one runs on real, anonymized operational data from an actual maritime analytics engagement, built for ship operators, charterers and analysts to monitor near real-time cargo activity. One page breaks cargo down by vessel class (Capesize, Panamax) and commodity (iron ore, soybeans and others), cross-tabulates it by activity (operating vs waiting) and purpose (discharge vs load), and surfaces the week-over-week percentage change in active IMO-registered vessel counts; a second page charts that IMO trend over time to flag operational surges or slowdowns in shipping activity.

Across all four, the design choices are the same ones that matter in a real engagement, whether the data behind them is synthetic or not: a filter model that lets a non-technical reader narrow in without needing to understand the data model underneath, KPI cards that answer the "so what" before the detail, and at least one drill-through path from a summary view down to a single record, because that's usually the question a stakeholder actually asks in the meeting.