Analyzing operational data involves several steps:
Data Collection: Gather data from various sources such as POS systems, CRM systems, and IoT devices. Data Cleaning: Ensure data quality by removing duplicates, correcting errors, and filling in missing values. Data Integration: Combine data from different sources to create a comprehensive view of operations. Data Analysis: Use analytical tools and techniques such as statistical analysis, data mining, and machine learning to uncover insights. Data Visualization: Present data in a visual format, such as charts and graphs, to make it easier to understand and interpret.