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'''Report mining''' is the extraction of data from human readable computer reports. Conventional [[data extraction]] requires a connection to a working source system, suitable [[Database connection|connectivity]] standards or an [[Application programming interface|API]], and usually complex querying. By using the source system's standard reporting options, and directing the output to a [[Spooling|spool file]] instead of to a [[printer (computing)|printer]], static reports can be generated suitable for offline analysis via report mining<ref>Scott Steinacher, "DataPump transforms host data", InfoWorld, 30 August 1999, p55</ref>. This approach can avoid intensive [[Central processing unit|CPU]] usage during business hours, can minimise [[end-user]] licence costs for [[Enterprise resource planning|ERP]] customers, and can offer very rapid prototyping and development of custom reports. |
'''Report mining''' is the extraction of data from human readable computer reports. Conventional [[data extraction]] requires a connection to a working source system, suitable [[Database connection|connectivity]] standards or an [[Application programming interface|API]], and usually complex querying. By using the source system's standard reporting options, and directing the output to a [[Spooling|spool file]] instead of to a [[printer (computing)|printer]], static reports can be generated suitable for offline analysis via report mining<ref>Scott Steinacher, "DataPump transforms host data", InfoWorld, 30 August 1999, p55</ref>. This approach can avoid intensive [[Central processing unit|CPU]] usage during business hours, can minimise [[end-user]] licence costs for [[Enterprise resource planning|ERP]] customers, and can offer very rapid prototyping and development of custom reports. |
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== See also == |
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* [[Extraction and Reporting Language]] - These are languages that are commonly used for report mining. |
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== References == |
== References == |
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Revision as of 21:38, 29 April 2011
Report mining is the extraction of data from human readable computer reports. Conventional data extraction requires a connection to a working source system, suitable connectivity standards or an API, and usually complex querying. By using the source system's standard reporting options, and directing the output to a spool file instead of to a printer, static reports can be generated suitable for offline analysis via report mining[1]. This approach can avoid intensive CPU usage during business hours, can minimise end-user licence costs for ERP customers, and can offer very rapid prototyping and development of custom reports.
See also
- Extraction and Reporting Language - These are languages that are commonly used for report mining.
References
- ^ Scott Steinacher, "DataPump transforms host data", InfoWorld, 30 August 1999, p55