Data Science and Analytic Automation Glossary

Business analytics is the process of analyzing data using statistical and quantitative methods...

Business intelligence is the cumulative outcome of an organization's data, software, infrastructure...

Data analytics is the process of exploring, transforming, and analyzing data to identify trends...

Data blending is the process of combining data from multiple sources to create an actionable...

Data cleansing, also known as data cleaning or scrubbing, identifies and fixes errors, duplicates, and...

Exploration, one of the first steps in data preparation, is a way to get to know data before working...

Data preparation, also sometimes called “pre-processing,” is the act of cleaning and consolidating...

Data profiling helps discover, understand, and organize data by identifying its characteristics and...

Organizations deal with large amounts of raw data and preparing it for analysis can be timely and...

Descriptive analytics help people answer the question of “What happened?” by drawing conclusions...

Extract, transform, load — better known as ETL — is a data integration process used to copy, combine...

Spatial analysis allows companies to analyze the locations, relationships, attributes, and proximities...

Machine learning models provide valuable insights to the business, but only if those models can access...

Automated machine learning, or AutoML, makes ML accessible to non-experts by enabling them to build...

Data science is a form of applied statistics that incorporates elements of computer science and...

Machine learning is the iterative process a computer uses to identify patterns in a dataset given...

Machine learning models provide valuable insights to the business, but only if those models can access...

Predictive analytics is a type of data analysis that uses statistics, data science, machine learning...

Prescriptive analytics answers the question “What should/can be done?” by using machine learning...