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http://localhost:8080/xmlui/handle/123456789/33| Title: | In-Memory Business Intelligence: Concepts and Performance |
| Authors: | Rantung, Vivi Peggie Kembuan, Olivia Rompas, Parabelem Tinno Dolf Mewengkang, Alfrina Liando, Olivia Eunike Selvie Sumayku, James |
| Issue Date: | 22-Feb-2018 |
| Publisher: | IOP Publishing Ltd |
| Citation: | V P Rantung et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 306 012129 |
| Series/Report no.: | IOP Conf. Series: Materials Science and Engineering;306 |
| Abstract: | This research aims to discuss in-memory Business Intelligent (BI) and to model the business analysis questions to know the performance of the in-memory BI. By using, the Qlickview application found BI dashboards that easily accessed and modified. The dashboards are developed together using an agile development approach such as pre-study, planning, iterative execution, implementation, and evaluation. At the end, this research helping analyzer in choosing a right implementation for BI solution. |
| URI: | http://localhost:8080/xmlui/handle/123456789/33 |
| Appears in Collections: | Lecturer Scientific Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Rantung_2018_IOP_Conf._Ser.%3A_Mater._Sci._Eng._306_012129.pdf | Paper : In-Memory Business Intelligence: Concepts and Performance | 816.08 kB | Adobe PDF | View/Open |
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