305x Filetype PPT File size 0.51 MB Source: ridha.staff.gunadarma.ac.id
Some Definitions …
• A data warehouse (DW) is a collection of integrated
databases designed to support a DSS
• An operational data store (ODS) stores data for a specific
application. It feeds the data warehouse a stream of desired
raw data.
• A data mart is a lower-cost, scaled-down version of a data
warehouse, usually designed to support a small group of
users (rather than the entire firm)
• The metadata is information that is kept about the warehouse
• Online Analytical Processing (OLAP) is the broad category of
software technology that enables multidimensional analysis of
enterprise data
Slides adapted by Michael Lang, NUI Galway from Turban et al. (2005) Decision Support Systems and
2
Intelligent Systems, 7th ed, © Prentice Hall
Business Intelligence and
Analytics
• Business intelligence (BI)
– Acquisition of data and information for use in decision-making
activities
• Business analytics (BA)
– Models and solution methods
• Web intelligence
– Application of business intelligence techniques to Web sites
• Web analytics
– Application of business analytics to Web sites
• Data mining
– Applying models and methods to data to identify patterns and
trends
Slides adapted by Michael Lang, NUI Galway from Turban et al. (2005) Decision Support Systems and
3
Intelligent Systems, 7th ed, © Prentice Hall
Data Warehouse
• Subject-oriented (as opposed to application-oriented)
– Data is organised based on its intended use
• “Scrubbed” and “cleansed” so that data from heterogeneous
sources are standardised
• Time series, historical data
• Non-volatile (read only)
• Summarised: in decision-usable format
• Data from both internal and external sources is present
• Metadata included
– Business metadata
– Semantic metadata
Slides adapted by Michael Lang, NUI Galway from Turban et al. (2005) Decision Support Systems and
4
Intelligent Systems, 7th ed, © Prentice Hall
Data Warehouse: Environment
• The organisation’s legacy systems and data stores
provide data to the data warehouse (DW) or mart
• During the transfer of data from the various sources,
cleansing or transformation may occur, so the data in
the DW is more uniform
• Simultaneously, metadata is recorded
• Finally, the DW or mart may be used to create one or
more “personal” warehouses
Slides adapted by Michael Lang, NUI Galway from Turban et al. (2005) Decision Support Systems and
5
Intelligent Systems, 7th ed, © Prentice Hall
Data Warehouse: Environment
Slides adapted by Michael Lang, NUI Galway from Turban et al. (2005) Decision Support Systems and
6
Intelligent Systems, 7th ed, © Prentice Hall
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