Requirements Engineering in Business Analytics for Innovation and Product Lifecycle Management
- Considering Requirements Engineering (RE) in business analytics, involving market oriented management, computer science and statistics, may be valuable for managing innovation in Product Lifecycle Management (PLM). RE and business analytics can help maximize the value of corporate product information throughout the value chain starting with innovation management. Innovation and PLM must address 1) big data, 2) development of well-defined business goals and principles, 3) cost/benefit analysis, 4) continuous change management, and 5) statistical and report science. This paper is a positioning note that addresses some business case considerations for analytics project involving PLM data, patents, and innovations. We describe a number of research challenges in RE that addresses business analytics when high PLM data should be turned into a successful market oriented innovation management strategy. We provide a draft on how to address these research challenges.
| Author: | Clotilde RohlederORCiD, Jing Lin, Indra Kusumah, Gülru Özkan |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-319-14139-8_7 |
| ISBN: | 978-3-319-14138-1 |
| ISBN: | 978-3-319-14139-8 |
| Parent Title (English): | Advances in Conceptual Modeling : ER 2013 Workshops, Hong Kong, China, November 11-13, 2013 (Lecture Notes in Computer Science, Vol. 8697) |
| Publisher: | Springer International Publishing |
| Place of publication: | Cham |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2014 |
| Identifier: | Im Katalog der Hochschule Konstanz ansehen |
| Release Date: | 2024/01/02 |
| First Page: | 51 |
| Last Page: | 58 |
| Open Access?: | Nein |
| Licence (German): |  Urheberrechtlich geschützt |
