Location
260-005, Owen G. Glenn Building
Start Date
12-15-2014
Description
We address common problems in the field of Business Intelligence, Data Warehousing and Decision Support Systems: the complexity to manage, track and understand data lineage and system component dependencies in long series of data transformation chains. The paper presents practical methods to calculate meaningful data transformation and component dependency paths, based on program parsing, heuristic impact analysis, probabilistic rules and semantic technologies. Case studies are employed to explain further data aggregation and visualization of the results to address different planning and decision support problems for various groups of technical and business users.
Recommended Citation
Tomingas, Kalle; Tammet, Tanel; Kliimask, Margus; and Järv, Priit, "Automating Component Dependency Analysis for Enterprise Business Intelligence" (2014). ICIS 2014 Proceedings. 6.
https://aisel.aisnet.org/icis2014/proceedings/DecisionAnalytics/6
Automating Component Dependency Analysis for Enterprise Business Intelligence
260-005, Owen G. Glenn Building
We address common problems in the field of Business Intelligence, Data Warehousing and Decision Support Systems: the complexity to manage, track and understand data lineage and system component dependencies in long series of data transformation chains. The paper presents practical methods to calculate meaningful data transformation and component dependency paths, based on program parsing, heuristic impact analysis, probabilistic rules and semantic technologies. Case studies are employed to explain further data aggregation and visualization of the results to address different planning and decision support problems for various groups of technical and business users.