@inproceedings{FJ12,
title = {Meeting the Need for ETL Documentation: A Model-driven Framework for Customizable Documentation Generation},
author = {Frieder Jacobi and Robert Krawatzeck and Marcus Hofmann},
url = {http://aisel.aisnet.org/amcis2012/proceedings/EndUserIS/23},
year = {2012},
date = {2012-08-09},
booktitle = {Proceedings of the 18th Americas Conference on Information Systems (AMCIS'12)},
pages = {Paper 23},
address = {Seattle, Washington, USA},
abstract = {Within Business Intelligence systems (BI systems), ETL (extract, transform and load) processes move numerous data from heterogeneous sources to a data warehouse and become more complex with growing enterprise size. To keep costs and expenditure of time for maintenance and evolution of those systems slight, ETL processes should be documented. A well-documented system also leads to higher transparency regarding the origin and processing of data, which increases the system’s acceptance by business users. However, the preparation of high-quality software documentation is sophisticated and therefore it usually only takes place in the design or development phase of BI systems. To ensure that the documentation is always updated, an automatic generation is advantageous. The paper at hand presents a conceptual framework for automated configurable ETL documentation generation. The presented framework creates benefits for BI systems developers as well as business users.},
keywords = {automatically generated documentation, Business Intelligence, Computer-Aided Warehouse Engineering, data warehouse system, documentation framework, ETL documentation, Knowledge Management, Model-Driven Architecture, user-specific documentation}
}