Name
Abstract | ||
|---|---|---|
Within larger and ever-more complex global service delivery networks, forecasting and managing cost becomes an increasing challenge. While manifold interdependencies and transactions between individual delivery centers can still be captured ex post, forecasting the spending and income and expense (I&E) impacts of management decisions becomes tedious. We propose a business-analytics-based approach—... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1147/JRD.2014.2327301 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Predictive models,Forecasting,Analytical models,Data models,Gobalization,Risk management | Data science,Interdependence,Information technology,Computer science,Operations research,Real-time computing,Service delivery framework | Journal |
Volume | Issue | ISSN |
58 | 4 | 0018-8646 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Vogt | 1 | 4 | 0.79 |
| E. R. Mattfeldt | 2 | 0 | 0.34 |
| Gerhardt Satzger | 3 | 4 | 0.79 |
| L. Lüders | 4 | 0 | 0.34 |
| M. Piper | 5 | 0 | 0.34 |
| Oliver Gehb | 6 | 0 | 0.34 |
| Wayne Jones | 7 | 0 | 0.34 |