Data Collection: Gathering relevant data from various sources. Data Cleaning: Ensuring the data is accurate and free of errors. Data Processing: Organizing and structuring the data for analysis. Data Analysis: Applying statistical tools and techniques to extract insights. Data Visualization: Presenting the data in an easily understandable format using charts, graphs, and dashboards.
Advanced techniques such as machine learning and artificial intelligence are also employed to uncover deeper insights and automate decision-making processes.