Data integration platforms typically follow a multi-step process:
Data Collection: Gathering data from various sources such as hospitals, laboratories, and public health agencies. Data Cleansing: Cleaning and standardizing data to ensure it is accurate and consistent. Data Transformation: Converting data into a suitable format for analysis. Data Integration: Merging data from different sources to create a unified dataset. Data Analysis: Using statistical and computational tools to analyze integrated data and generate insights.
