Forecasting with In-Memory Technology
Tim Januschowski,
Stephan Kolassa,
Martin Lorenz and
Christian Schwarz
Foresight: The International Journal of Applied Forecasting, 2013, issue 31, 14-20
Abstract:
In-memory technology will radically transform the world of enterprise information systems Ðaccording to our enterprising quartet of Tim, Stephan, Martin, and Christian. Their article provides a comprehensive description of the elements of in-memory technology and the ways it might improve the timeliness, flexibility, and speed of forecast generation. In the authorsÕ view, it may enable a new, interactive, enterprise-wide way of working with forecasting tools and applications. Copyright International Institute of Forecasters, 2013
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://foresight.forecasters.org/shop/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2013:i:31:p:14-20
Access Statistics for this article
More articles in Foresight: The International Journal of Applied Forecasting from International Institute of Forecasters Contact information at EDIRC.
Bibliographic data for series maintained by Michael Gilliland ().