Business Intelligence and Data Warehousing

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Business Intelligence
and Data Warehousing
Student Name

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Introduction
• Business intelligence is the analysis and use of business
accumulated data for planning and decision making.
• Data warehousing refers to the storage, analysis, and
management of business data for effective business decision
making.
• Business intelligence involves data management and data
analysis that is important for business decision making.
• Business intelligence involves data management and data
analysis that is important for business decision making.
• Data are analyzed for reporting and understanding f the trend
that give more picture of customer behavior.

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GLOBAL DATA CONNECTIONS
(Ashton, 2018)

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Transportation Industry
• Business intelligence
• Business intelligence data mining techniques help track the pattern of transportation
system throughout an industry.
• Transport route and traffic is important for optimization of routes and planning for
transport expansion for those areas that have been identified for heavy traffic.
• Content analytics
• Content analytics technique enables the determination of effects of a certain variable in
the transport industry.
• Some of the drivers to transportation are analyzed for effective transport system is
prices, demand, competition, and energy.
• Predictive analytics
• The prediction analytics data analysis involves the analysis of the data set in the
transport industry to predict the future data pattern.
• This also helps in advising road users on the specific areas that will experience heavy
traffic over some time (Feldman & Himmelstein, 2013).