CPCU 500 Ch.6

36 cards   |   Total Attempts: 188
  

Cards In This Set

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Data mining
The analysis of large amounts of data to fin new realtionships and patters that will assist in developing business solutions
Machine learning
AI in whihc computers continually teach themselves to make better decisions based on previous results and new data
AI
Compute processing or output that simulates human reasoning or knowledge
Data science
An interdisciplineray field involving the design and use of techniques to process very large amount of data from a variety of sources and to provide knpwledge based on data
Big Data 1.0
Orgnziaiton began using the Internet to conduct business and compile data about their customers
Big Data 2.0
Allow orgnziations to obtain and aggergate vast amounts of data very quickly and extract useful knowledge from it
The qualities the differentiatie big data from traditional data
Volume, variety, velocity, veracity, value
Structure data
Dat organized into databases with defined fields includign links between dtabases
Unstructured data
Data that is not orgnzied into predtermined formats such as databases and often consists of text images or other nontraditional media -isn't organized (ex. social media)
Internal data
Data that is owned by an organization
External data
Data that belongs to an entity other than the orgnziaton that wishes to acquire and use it
Telematics
A device that is obtained from a device that is installed on a customers vehicle (is likely external)
Most commonly used types of thir party data are
Economic data and geodemographic data
Economic data
Data regarding interest rates, asset prices, exchange rates, the CPI, and other info about the global, the national, or a regional economy
Geodemographic data
Dat regarding classifications of a population