Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the Thirteenth IEEE Conference on Commerce and Enterprise Computing, CEC 2011 |
| Place of Publication | USA |
| Publisher | IEEE Computer Society |
| Pages | 179-184 |
| Number of pages | 6 |
| ISBN (Print) | 978-0-7695-4535-6 |
| DOIs | |
| Publication status | Published - Sep 2011 |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Computer Society |
Keywords
- METIS-278850
- Business intelligence
- SCS-Services
- IR-78256
- EWI-20640
- Fast Moving Consumer Goods
- Trade promotion
- Reference architecture
Cite this
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Reference system architecture for trade promotion management: leveraging business intelligence technologies and decision support systems. / Balmus, Andra Bianca; Iacob, Maria Eugenia; van Sinderen, Marten J.; van Busschbach, Murk.
Proceedings of the Thirteenth IEEE Conference on Commerce and Enterprise Computing, CEC 2011. USA : IEEE Computer Society, 2011. p. 179-184.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Reference system architecture for trade promotion management: leveraging business intelligence technologies and decision support systems
AU - Balmus, Andra Bianca
AU - Iacob, Maria Eugenia
AU - van Sinderen, Marten J.
AU - van Busschbach, Murk
N1 - 10.1109/CEC.2011.31
PY - 2011/9
Y1 - 2011/9
N2 - Working towards gaining competitive advantage and establishing stable relationships with their supply chain intermediaries, fast moving consumer goods companies are currently focusing their attention on intelligent, goal-based funds investment. Traditional trade promotion management systems (TPMS), however, fail to provide the complex, yet flexible analytical functionality required for accurate tracing of promotional effectiveness and optimization of trade promotional spending. Most commonly encountered issues range from unreliable, inaccurate and inconsistent data and low user friendliness of the system to complicated, inflexible and time-consuming reporting. In this paper, we design the first reference system architecture integrating business intelligence technologies with trade promotion management systems, meeting the business needs and rendering high quality reporting services to the end users. Our proposed architecture incorporates a reference trade promotion management process and is the first architecture model extending the in-built functionality of TPMS with BI tools. We outline the theoretical foundations and the design principles of the architecture and evaluate its validity with 19 interviews and one case study following the TOGAF ADM steps. Despite the time restriction for further validation, the architecture is based on extensive academic and industry literature and the evaluation confirmed its potential of solving common issues of current trade promotion management systems.
AB - Working towards gaining competitive advantage and establishing stable relationships with their supply chain intermediaries, fast moving consumer goods companies are currently focusing their attention on intelligent, goal-based funds investment. Traditional trade promotion management systems (TPMS), however, fail to provide the complex, yet flexible analytical functionality required for accurate tracing of promotional effectiveness and optimization of trade promotional spending. Most commonly encountered issues range from unreliable, inaccurate and inconsistent data and low user friendliness of the system to complicated, inflexible and time-consuming reporting. In this paper, we design the first reference system architecture integrating business intelligence technologies with trade promotion management systems, meeting the business needs and rendering high quality reporting services to the end users. Our proposed architecture incorporates a reference trade promotion management process and is the first architecture model extending the in-built functionality of TPMS with BI tools. We outline the theoretical foundations and the design principles of the architecture and evaluate its validity with 19 interviews and one case study following the TOGAF ADM steps. Despite the time restriction for further validation, the architecture is based on extensive academic and industry literature and the evaluation confirmed its potential of solving common issues of current trade promotion management systems.
KW - METIS-278850
KW - Business intelligence
KW - SCS-Services
KW - IR-78256
KW - EWI-20640
KW - Fast Moving Consumer Goods
KW - Trade promotion
KW - Reference architecture
U2 - 10.1109/CEC.2011.31
DO - 10.1109/CEC.2011.31
M3 - Conference contribution
SN - 978-0-7695-4535-6
SP - 179
EP - 184
BT - Proceedings of the Thirteenth IEEE Conference on Commerce and Enterprise Computing, CEC 2011
PB - IEEE Computer Society
CY - USA
ER -