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Towards Agile Enterprise Data Warehousing

Authors:
Mikko Puonti
Antti Luoto
Timo Aho
Timo Lehtonen
Timo Aaltonen

Keywords: data warehouses; business intelligence; agile software development; scrum.

Abstract:
Traditional business intelligence and data warehouse projects are very much sequential in nature. The process starts with data preparation and continues with the reporting needed by business measurements. This is somewhat similar to the waterfall model of software development and also shares some of its problems: the work is done in serial manner and the reaction time for possible design changes is often long. Agile principles are not well supported by the traditional serial workflow. By making the data preparation and reporting tasks parallel, it is possible to gain several advantages, such as shorter lead time and shorter feedback cycle. The solution proposed in this paper is based on enriched conceptual model that enables the business intelligence implementation process of different teams to change from serial to parallel workflow.

Pages: 228 to 232

Copyright: Copyright (c) IARIA, 2016

Publication date: August 21, 2016

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-498-5

Location: Rome, Italy

Dates: from August 21, 2016 to August 25, 2016