A bottom-up approach for creating goal hierarchy using OLAP query recommendation technique

Ranjeet Kumar Ranjan and N. Parimala

International Journal of Business Information Systems, 2018, vol. 28, issue 4, 425-446

Abstract: Traditionally, data warehouses have been designed guided by an analysis of the underlying data sources. On the other hand, goal-oriented approaches build a goal decomposition structure which is further mapped to a data warehouse model. Goal-oriented approaches address the requirements of the decision makers. In this paper, we propose to build a goal decomposition structure for traditional data warehouses. As a result it can be assessed whether the existing data warehouse model satisfies the decision makers' requirements. The approach is bottom-up wherein the tasks are identified first and the path to the strategic goal is built later. The tasks themselves are identified using OLAP query recommendation technique.

Keywords: data analysis; data warehousing; online analytical processing; OLAP; multidimensional expressions; MDX; goal decomposition; goal hierarchy; strategic rationale diagram; query recommendation; cosine similarity; similarity measure. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=93656 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:28:y:2018:i:4:p:425-446

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().