Automated Interpretation of Key Performance Indicators by using Rules
Апстракт
Business reporting is an essential task for every enterprise. In order to make appropriate decisions, decision makers need quality reports. Some recent articles suggest that reports generated by BI (Business Intelligence) systems contain mostly data (key performance indicator values) and little or no information. Data has no meaning and must be interpreted in order to become information. Information is, naturally, much more useful because it directly contributes to recipients’ knowledge and can be acted upon. The consequence is that it is left to the decision maker to manually analyze large quantities of data presented in individual reports in order to derive information. A potential solution for automated business data interpretation is presented in this chapter. It proposes using rules to capture and formalize business knowledge and then utilizing these rules to infer information from data automatically.
Кључне речи:
Expert System / Explanation Facility / Key Performance Indicator (KPI) / Business Intelligence (BI) / ReportingИзвор:
Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches, 2009, 625-646Издавач:
- IGI Publishing, Hershey, Pennsylvania
Институција/група
Fakultet organizacionih naukaTY - CHAP AU - Tomić, Bojan AU - Gasevic, Dragan AU - Giurca, Adrian AU - Taveter, Kuldar PY - 2009 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2609 AB - Business reporting is an essential task for every enterprise. In order to make appropriate decisions, decision makers need quality reports. Some recent articles suggest that reports generated by BI (Business Intelligence) systems contain mostly data (key performance indicator values) and little or no information. Data has no meaning and must be interpreted in order to become information. Information is, naturally, much more useful because it directly contributes to recipients’ knowledge and can be acted upon. The consequence is that it is left to the decision maker to manually analyze large quantities of data presented in individual reports in order to derive information. A potential solution for automated business data interpretation is presented in this chapter. It proposes using rules to capture and formalize business knowledge and then utilizing these rules to infer information from data automatically. PB - IGI Publishing, Hershey, Pennsylvania T2 - Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches T1 - Automated Interpretation of Key Performance Indicators by using Rules EP - 646 SP - 625 DO - 10.4018/978-1-60566-402-6.ch026 ER -
@inbook{ author = "Tomić, Bojan and Gasevic, Dragan and Giurca, Adrian and Taveter, Kuldar", year = "2009", abstract = "Business reporting is an essential task for every enterprise. In order to make appropriate decisions, decision makers need quality reports. Some recent articles suggest that reports generated by BI (Business Intelligence) systems contain mostly data (key performance indicator values) and little or no information. Data has no meaning and must be interpreted in order to become information. Information is, naturally, much more useful because it directly contributes to recipients’ knowledge and can be acted upon. The consequence is that it is left to the decision maker to manually analyze large quantities of data presented in individual reports in order to derive information. A potential solution for automated business data interpretation is presented in this chapter. It proposes using rules to capture and formalize business knowledge and then utilizing these rules to infer information from data automatically.", publisher = "IGI Publishing, Hershey, Pennsylvania", journal = "Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches", booktitle = "Automated Interpretation of Key Performance Indicators by using Rules", pages = "646-625", doi = "10.4018/978-1-60566-402-6.ch026" }
Tomić, B., Gasevic, D., Giurca, A.,& Taveter, K.. (2009). Automated Interpretation of Key Performance Indicators by using Rules. in Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches IGI Publishing, Hershey, Pennsylvania., 625-646. https://doi.org/10.4018/978-1-60566-402-6.ch026
Tomić B, Gasevic D, Giurca A, Taveter K. Automated Interpretation of Key Performance Indicators by using Rules. in Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches. 2009;:625-646. doi:10.4018/978-1-60566-402-6.ch026 .
Tomić, Bojan, Gasevic, Dragan, Giurca, Adrian, Taveter, Kuldar, "Automated Interpretation of Key Performance Indicators by using Rules" in Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches (2009):625-646, https://doi.org/10.4018/978-1-60566-402-6.ch026 . .