Data Hygiene is the process of cleaning up a data set. The process removes duplicates, corrects misspellings, makes sure the data follows standard formatting rules, fills in missing data and corrects misspellings and punctuation errors, among other things. Good data hygiene is important for other data analytics, such as predictive modeling, since it makes sure the model is being built on the best quality data.
Artificial intelligence, or AI, refers to computer software and hardware that analyzes, learns, and adapts in much the... Read full definition
Business-to-Consumer (B2C) marketing is the marketing of products and services to individual customers or... Read full definition