What is Data Profiling? A Detailed Introductory Guide
Over the last few years, big data has changed from a competitive differentiator into a critical tool for growth and development. When used to its full potential, data can increase profits, reduce overall spending, and uncover opportunities. This is the reason why more than 97 percent of organizations are now investing in big data and artificial intelligence initiatives.
In its raw form, however, big data is largely unusable. It needs to be prepared, processed and analyzed for both quality and content. It also needs to be summarized before it can help a company improve its operations.
As such, businesses perform data profiling to better understand the condition and the value of their data, making it discoverable and actionable along the way.
Very simply, data profiling is the process of analyzing data to understand how it’s structured, what it contains, the relationships between data sets, and how it could potentially be used most effectively.