You get what you measure. Too true. This company was measuring the volume and value of its sales but inconsistently across its many business units. Getting information at a business-unit level was a manual exercise. Aggregating the business units’ information to show a company-wide view was slow and the result was ineffective. Because each business unit reported their products and services, geographies, currencies, customers, suppliers etc. using different descriptions this useful detail had to be removed when looking at the aggregate. The company had the vision for their information: they had created a company-wide data warehouse and a dictionary of common terms. But no one had access. This project made the data accessible and useful directly to people in the business. Reporting to the Chief Data Officer, I conducted interviews with 50 senior managers to establish the scope and high level, prioritised requirements. I created a data dictionary and – working with data SMEs – established the sources of all required data as well as the data coverage / significant gaps. Using MS Team Foundation Server I drafted and agreed (with the Product Owner and other relevant stakeholders) the epics and features to scope a proof of concept. I wrote the user stories and acceptance criteria and was Lead BA and Scrum Master to manage the Product Backlog from User Story iteration and estimate through to User Testing over a multiple sprints of two weeks each. The delivery team comprised onshore (data warehouse and report/dashboard designers, user acceptance testers) and 3rd party offshore (data, ETL and report developers and testers) resources. I ran the “show and tell” sessions at the end of each sprint and wrote the user training materials needed by the user acceptance testers, ensuring bugs and enhancements were prioritised and added to the coming sprints as appropriate. I reported progress weekly to the Project Manager using a burn down methodology as well as full traceability to the original scope. The end solution provided people in the business with a self-service access to sales data, reports and dashboards via PowerBI. The information was automatically refreshed. It was described using common, company-wide definitions which enabled users to compare “apples with apples” wherever they were in the business. It was the first reporting solution to provide end user access directly to the company’s new data warehouse.