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Data mining
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The analysis of large amounts of data to fin new realtionships and patters that will assist in developing business solutions
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Machine learning
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AI in whihc computers continually teach themselves to make better decisions based on previous results and new data
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AI
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Compute processing or output that simulates human reasoning or knowledge
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Data science
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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
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Big Data 1.0
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Orgnziaiton began using the Internet to conduct business and compile data about their customers
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Big Data 2.0
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Allow orgnziations to obtain and aggergate vast amounts of data very quickly and extract useful knowledge from it
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The qualities the differentiatie big data from traditional data
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Volume, variety, velocity, veracity, value
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Structure data
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Dat organized into databases with defined fields includign links between dtabases
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Unstructured data
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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)
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Internal data
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Data that is owned by an organization
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External data
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Data that belongs to an entity other than the orgnziaton that wishes to acquire and use it
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Telematics
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A device that is obtained from a device that is installed on a customers vehicle (is likely external)
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Most commonly used types of thir party data are
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Economic data and geodemographic data
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Economic data
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Data regarding interest rates, asset prices, exchange rates, the CPI, and other info about the global, the national, or a regional economy
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Geodemographic data
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Dat regarding classifications of a population
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