Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/46700Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Budnichenko, M. | en |
| dc.date.accessioned | 2021-02-11T08:44:44Z | - |
| dc.date.available | 2021-02-11T08:44:44Z | - |
| dc.date.issued | 2009-10-29 | - |
| dc.identifier.uri | https://er.nau.edu.ua/handle/NAU/46700 | - |
| dc.description.abstract | Nearly every enterprise has a high-level strategic initiative focused on analytics—and is applying advanced technologies to measure, manage and ultimately improve its overall performance. The result is an explosion of business-intelligence efforts, with Forrester Research recently estimating that large enterprises may have 5–15 reporting and analysis solutions, with some companies using at least 20 separate products. | en |
| dc.language.iso | en | en |
| dc.publisher | National Aviation University | en |
| dc.title | It’s time for a new generation of supply chain analytics! | en |
| dc.type | Thesis | uk_UA |
| Appears in Collections: | Матеріали конференцій кафедри логістики | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| с Будниченко.doc | Тезисы | 31 kB | Microsoft Word | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.