Academic Journal
Business Intelligence Process Metrics Specification: An Information Flow Approach.
| Τίτλος: | Business Intelligence Process Metrics Specification: An Information Flow Approach. |
|---|---|
| Συγγραφείς: | Kaula, Rajeev |
| Πηγή: | International Journal for Computers & Their Applications; Dec2012, Vol. 19 Issue 4, p262-272, 11p |
| Θεματικοί όροι: | Business intelligence, Data warehousing, PL/SQL (Computer program language), Query languages (Computer science), Management information systems |
| Περίληψη: | Business intelligence (BI) aims to provide timely information to improve business effectiveness and allow a business to compete successfully in the marketplace. Generally such information has assisted organizations in either discovering strategic and tactical trends and opportunities, or measuring the performance of their business processes in order to improve organizational effectiveness. This paper outlines an approach to transform business process dimensional models into business rules for process metrics specification through information flow modeling. The paper illustrates the concepts through a marketing business process Lead to Forecast prototype which is implemented in Oracle's PL/SQL language. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal for Computers & Their Applications is the property of International Society for Computers & Their Applications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 84444193 RelevancyScore: 834 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 834.354431152344 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Business Intelligence Process Metrics Specification: An Information Flow Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kaula%2C+Rajeev%22">Kaula, Rajeev</searchLink> – Name: TitleSource Label: Source Group: Src Data: International Journal for Computers & Their Applications; Dec2012, Vol. 19 Issue 4, p262-272, 11p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Business+intelligence%22">Business intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Data+warehousing%22">Data warehousing</searchLink><br /><searchLink fieldCode="DE" term="%22PL%2FSQL+%28Computer+program+language%29%22">PL/SQL (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Query+languages+%28Computer+science%29%22">Query languages (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Management+information+systems%22">Management information systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Business intelligence (BI) aims to provide timely information to improve business effectiveness and allow a business to compete successfully in the marketplace. Generally such information has assisted organizations in either discovering strategic and tactical trends and opportunities, or measuring the performance of their business processes in order to improve organizational effectiveness. This paper outlines an approach to transform business process dimensional models into business rules for process metrics specification through information flow modeling. The paper illustrates the concepts through a marketing business process Lead to Forecast prototype which is implemented in Oracle's PL/SQL language. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of International Journal for Computers & Their Applications is the property of International Society for Computers & Their Applications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=84444193 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 262 Subjects: – SubjectFull: Business intelligence Type: general – SubjectFull: Data warehousing Type: general – SubjectFull: PL/SQL (Computer program language) Type: general – SubjectFull: Query languages (Computer science) Type: general – SubjectFull: Management information systems Type: general Titles: – TitleFull: Business Intelligence Process Metrics Specification: An Information Flow Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kaula, Rajeev IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 10765204 Numbering: – Type: volume Value: 19 – Type: issue Value: 4 Titles: – TitleFull: International Journal for Computers & Their Applications Type: main |
| ResultId | 1 |