Name
Abstract | ||
|---|---|---|
Increasingly, the idea of using SOA and BPM principles is being applied outside the enterprise computing context. One potential area is the use of reusable services to facilitate the definition, composition and execution of analysis processes over large distributed repositories of heterogeneous data. However, it is hard to see how such a solution can be applied when users are already engaged in performing the same tasks using their own tools and processes. This paper studies the problem in more detail and proposes a simple method in which the initial analysis process is iteratively refined into a service-based one. The methodology relies on an ADAGE architecture which gives the flexibility to define data analysis processes in an incremental way. As a case study, the approach is demonstrated on the process of conducting event studies using the SAS package together with different data sources (e.g. Thomson Reuters Tick History-- TRTH). The case study demonstrates that the resulting process is substantially more efficient and effective than the original one. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICEIS 2011: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 4 | Tick data,Data-intensive analysis,Event study,Web services,Business process,SOA |
Field | DocType | Citations |
Artifact-centric business process model,Business process,Computer science,Knowledge management | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weisi Chen | 1 | 1 | 2.10 |
| Fethi Rabhi | 2 | 427 | 50.68 |