The capstone of the Data Analyst track. Voltline Electronics, a chain of eight stores, sends you 18 months of raw till data and one question from its chief executive: what's really driving our 37% growth? You'll plan the analysis, profile and clean a genuinely messy export (a duplicated upload, mixed date formats, inconsistent store names and test transactions), build a model that looks up costs by date and compares sales with monthly targets, decompose the growth, find what's going wrong where, and put a value on missed sales. Then you'll build a dashboard, write an executive summary, prepare for the board's questions and publish the project for your portfolio. Use Excel, Power BI, SQL or Python: the work is assessed on the answers, not the tool.