Title :
Managing and mapping data lineage for business intelligence and analytics applications in health care
Author :
Azarm, Mana ; Nargesian, Fatemeh ; Peyton, Liam
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
The data delivery architectures in most enterprises are complex and under documented. When a Healthcare manager looks at a report, they want to know exactly what each element or technical expression on a report means, where the values shown originate from and how often they are getting updated. We propose a tool framework that includes: a meta-data repository for each step in the data delivery architecture; a web based interface to access and manage that repository; and mapping tools that capture data lineage to support step by step automation of data delivery. We illustrate and evaluate our approach with a prototype implementation and a case study using a health care analytics dashboard for managing hospital acquired infections.
Keywords :
Internet; competitive intelligence; health care; information retrieval; medical administrative data processing; medical computing; meta data; organisational aspects; Web based interface; business intelligence; data access; data delivery architecture; data lineage mapping; health care; meta data repository; prototype implementation; Educational institutions; Layout; Load modeling; Transforms; business analytics; data lineage; enterprise reporting; meta-data;
Conference_Titel :
Information Society (i-Society), 2011 International Conference on
Conference_Location :
London
Print_ISBN :
978-1-61284-148-9