Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Eighteenth IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014 |
| Editors | M.U. Reichert, S. Rinderle-Ma, G. Grossmann |
| Place of Publication | USA |
| Publisher | IEEE Computer Society |
| Pages | 22-31 |
| Number of pages | 10 |
| ISBN (Print) | 978-1-4799-5470-4 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 18th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014 - Ulm, Germany Duration: 3 Sep 2014 → 5 Sep 2014 Conference number: 18 |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Computer Society |
| ISSN (Print) | 1541-7719 |
Conference
| Conference | 18th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014 |
|---|---|
| Abbreviated title | EDOC |
| Country | Germany |
| City | Ulm |
| Period | 3/09/14 → 5/09/14 |
Keywords
- Operational data
- SCS-Services
- EWI-25047
- Data warehouse
- Quantitative analysis
- Business intelligence
- IR-91750
- METIS-306021
- Enterprise Architecture
Cite this
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Enterprise architecture intelligence. / Veneberg, R.K.M.; Iacob, Maria Eugenia; van Sinderen, Marten J.; Bodenstaff, L.
Eighteenth IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014. ed. / M.U. Reichert; S. Rinderle-Ma; G. Grossmann. USA : IEEE Computer Society, 2014. p. 22-31.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Enterprise architecture intelligence
AU - Veneberg, R.K.M.
AU - Iacob, Maria Eugenia
AU - van Sinderen, Marten J.
AU - Bodenstaff, L.
N1 - 10.1109/EDOC.2014.14
PY - 2014
Y1 - 2014
N2 - Combining enterprise architecture and operational data is complex (especially when considering the actual ‘matching’ of data with enterprise architecture objects), and little has been written on how to do this. Therefore, in this paper we aim to fill this gap and propose a method to combine operational data with enterprise architecture to better support decision-making. Using such a method may result either in an enriched enterprise architecture model (which is very suitable as basis for model-based architecture analyses), or in a warehouse data model where operational data is enriched with enterprise architecture metadata (which leads to more traceability by easing the retrieval and interpretation of raw data, and of business analytics results). The method is illustrated by means of a case study. Also, a model to store enterprise architecture, operational data and time is presented on which new forms of analysis may be performed.
AB - Combining enterprise architecture and operational data is complex (especially when considering the actual ‘matching’ of data with enterprise architecture objects), and little has been written on how to do this. Therefore, in this paper we aim to fill this gap and propose a method to combine operational data with enterprise architecture to better support decision-making. Using such a method may result either in an enriched enterprise architecture model (which is very suitable as basis for model-based architecture analyses), or in a warehouse data model where operational data is enriched with enterprise architecture metadata (which leads to more traceability by easing the retrieval and interpretation of raw data, and of business analytics results). The method is illustrated by means of a case study. Also, a model to store enterprise architecture, operational data and time is presented on which new forms of analysis may be performed.
KW - Operational data
KW - SCS-Services
KW - EWI-25047
KW - Data warehouse
KW - Quantitative analysis
KW - Business intelligence
KW - IR-91750
KW - METIS-306021
KW - Enterprise Architecture
U2 - 10.1109/EDOC.2014.14
DO - 10.1109/EDOC.2014.14
M3 - Conference contribution
SN - 978-1-4799-5470-4
SP - 22
EP - 31
BT - Eighteenth IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014
A2 - Reichert, M.U.
A2 - Rinderle-Ma, S.
A2 - Grossmann, G.
PB - IEEE Computer Society
CY - USA
ER -