What is data transformation?

Data transformation is crucial to data modeling and enhancing an organization's data literacy. Businesses analyze data to gain insights about customers, discover new opportunities, and make informed decisions. To analyze data effectively, it must be organized and structured in a way that can be easily interpreted by analysts for creating dashboards, reports, and predictive models. Data is valuable only if it can be utilized effectively. Similar to how raw ore gains value after mining, refining, and shaping into something useful, data from business applications like Salesforce and Google Analytics needs extraction, loading into a repository, and transformation for deriving business intelligence. ELT software plays a vital role in this process by extracting data from various source systems, loading it into a data warehouse or lake, and transforming it into a suitable format for analysis.