The quality and structure of data in data mining have a major effect on the results. Customer records, transactions, websites and applications, sensors, or other business systems can serve as sources of data. It typically requires cleaning, structuring and missing/inconsistent value checking before analysis. Once it is ready, analysts can then search for patterns, trends, correlations, and any potential anomalies. The intent is not to memorise lots of information, but to find something useful from it. If you're interested in learning about how organizations are managing and analyzing data at scale, then you should check out Datalance.