Business Intelligence Chapter 7 – Flashcards
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Location-Based Analytics
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Geospatial Analytics, Geocoding, Enables aggregate view of large geographic area, Integrate "where" into customer view
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Geocoding
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Visual Maps, Postal codes, Latitude & Longitude
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Organization Oriented Location based analytics
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Geospatial static approach (examining geographic site locations), location-based dynamic approach (live location feeds; real-time marketing promotions)
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Consumer Oriented Locations based analytics
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Geospatial static approach (GPS navigation, data analysis), location-based dynamic approach (historic and current location demand analysis)
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Geographic information system (GIS)
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Used to capture, store analyze and manage the data linked to a location, combined with integrated sensor technologies and GPS
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Location Intelligence (LI)
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Interactive maps that further drill down to details about any location
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Real-Time Location Intelligence
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Devices that are constantly sending out location information, reality mining
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Uses for real-time location intelligence
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targeting right customer based on their behavior over geographic locations
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Web 2.0
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Advanced Web (blogs, wikis, social networks), Objective (enhance creativity, information sharing, collaboration), Changing the web from passive to active, redefining what is on the Web as well as how it works, companies are adopting and benefiting
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Application programming interface
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Data source - Mechanism to populate source systems with raw data and to pull operational reports
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Operational transaction systems
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Data source - Systems that run day-to-day business operations and provide source data for the data warehouse and DSS environment
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Enterprise application integration/staging area
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Data source - Provides an integrated common data interface and interchange mechanism for real-time and source systems.
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Extract, transform, load (ETL)
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Data management - The processes to extract, transform, cleanse, reengineer, and load source data into the data warehouse, and move the data from one location to another
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Meta data management
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Data services - data that describes the meaning and structure of business data, as well as how it is created, accessed, and used
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Data-as-a-service (DaaS)
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Accessing data "where it lives", enriching data quality with centralization,
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Information-as-a-Service (IaaS)
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"Information on Demand" Goal is to make information available quickly to people, processes, and applications across the business
