Imagine you work for an ice cream company with stores spread across the United Kingdom. The company’s leadership has tasked you with analyzing various facets of sales performance—from store revenue and customer loyalty to product popularity and seasonal trends. With data coming from multiple sources, including databases, spreadsheets, and text files with customer ratings, it’s crucial to consolidate this information to uncover valuable insights. This project introduces users to the fundamentals of end-to-end data analysis, from integrating diverse data sources to creating insightful, actionable dashboards.
Through this training, users will explore how to design a star schema database, which structures data into an efficient, analysis-friendly format. By working with fact tables to store transactional sales data and dimension tables for contextual information like customer details, store locations, and product attributes, users will learn to establish robust data relationships that facilitate quick analysis. They’ll use Power BI as a powerful visualization tool to bring their data to life, showcasing trends, comparing performance across periods, and identifying the factors that drive success.
Finally, users will gain hands-on experience with essential Power BI features and SQL Server functionality to transform raw data into a polished, interactive dashboard. This project empowers users to clean, model, and visualize data effectively, turning data into strategic insights. By the end of this course, users will be well-equipped to tackle real-world data challenges, enabling them to make data-driven decisions and convey their findings in a way that is visually compelling and easy to understand.