Appendix B
Glossary
aggregating: Summarizing a collection of data.
agile: A framework for developing software or a product that focuses on small iteration cycles (usually two to four weeks), heavy stakeholder interaction, and delivery of functional product at each cycle.
AI: See artificial intelligence.
algorithm: A mathematical formula used to analyze data.
analytics: A field of study around data; the results of data analysis.
anonymization: The process of removing personally identifiable data about a person.
application: Computer software written to perform some function.
artificial intelligence (AI): A field of study with the goal of allowing machines to process in a similar way to humans. Allows for computer systems to “learn” and improve with more information.
behavioral analytics: Analytics that look at how humans act with the goal to predict future actions. Human pattern analysis.
big data scientist: Someone who develops the algorithms to make sense out of big data.
big data startup: A young company that has developed new big data technology.
bioinformatics: The analytical field of study pertaining to life science and medicine.
biometrics: The identification of humans by their characteristics like facial features, fingerprints, and other distinguishing marks.
business intelligence: Attempts to look at historical data to better understand business trends.
cloud computing: A distributed computing system used for data storage and computing power that is not located on the ...
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