With data warehousing, every business shifts its focus from manual processing of the data to strategic goals. Storing consistent, standardized and accessible information enables its seamless usage between different departments, and helps them make smarter metric-driven decisions.

Data scraping is a crucial part of data science that includes the extraction of publicly available information from a web page, application, database, reviews, tables or even audio source and importing it to your local storage.

Data anonymization is the process of protecting private or sensitive information from data sets. During the process, personally identifiable information is removed from data sets.