Businesses generate massive amounts of information, yet only a fraction of it is analyzed. Studies show that companies review just 37% to 40% of their internal data, leaving valuable insights untapped. To bridge this gap, organizations invest in ETL solutions.
Extract, Transform, Load (ETL) is a structured process of preparing raw data for analysis. It begins by collecting information from the sources (websites, databases, and applications). Once extracted, the data is transformed through cleaning, structuring, and formatting to ensure usability. Finally, the refined data is loaded into a centralized system, usually a data warehouse or data lake, where it becomes accessible for analysis.
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