Discover Digital Data & Tech Trends for Scaling Business

When you observe data to analyse and review it for summarising datasets, it is called data profiling. Overall, this process is all about verifying the accuracy and relevancy of data so that insights into it can be convenient. Simply put, data profiling aims at measuring the quality of data on the basis of multiple factors like accuracy, completeness, and consistency.

Data conversion is the need of the hour. Digitalisation is storming in, which needs digitised data. Many companies and organisations still rely on traditional methods of recording data. Hardcopies of invoices, medical bills, and many other important documents can be easily seen even today in multiple offices.

Data cleansing, or wrangling, is an essential practice to keep a set of information accurate, up-to-date, and free from redundancies. Accuracy, completeness, consistency, validity, and uniqueness are the metrics that can help in understanding the reasons plaguing data with dupes, inaccuracies, and inconsistencies.