Storytelling with Data

The Business Intelligence Cycle, consisting of data mining, analytical processing, querying, reporting, and improved decision-making, is explained. The CRISP DM model, focusing on data preparation and analysis, is introduced, distinguishing it from BI, which includes decision-making.

Furthermore, the course focuses on Power BI, the leading BI tool. First, it delves into the importance of BI in logistics, emphasizing its role in supply chain visibility, operational performance, and decision-making. Subsequently, it explores Data Storytelling, defining it as building a compelling narrative based on complex data. The module covers the steps of Storytelling, highlighting the role of Key Performance Indicators (KPIs) and the use of Power BI dashboards. Performance Measures are discussed, emphasizing KPIs' role in explaining organizational effectiveness and efficiency. Finally, Data Visualization is a key aspect of Storytelling, and the module provides steps to visualize data effectively. It discusses the selection of visuals based on audience knowledge gaps, data quality, and the use of storytelling to explain KPI results. The importance of choosing the right visuals, such as bar charts, histograms, pie charts, scatter plots, and line charts, is emphasized.