Data ingestion: The lifecycle begins with the data collection, both raw structured and unstructured data from all relevant sources using a variety of methods.

Data storage and data processing: Since data can have different formats and structures, companies need to consider different storage systems based on the type of data that needs to be captured.

Data analysis: Here, data scientists conduct an exploratory data analysis to examine biases, patterns, ranges, and distributions of values within the data.