Data-Driven Decision-Making: It's a Catch-Up Game

Autor/in	Briggs, Linda L.
Titel	Data-Driven Decision-Making: It's a Catch-Up Game
Quelle	In: Campus Technology, 19 (2006) 12, S.48-50 (5 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1553-7544
Schlagwörter	Information Technology; Internet; Colleges; Data Analysis; Information Management; Decision Making; Illinois; New York + Suchen Sie Ihr Suchwort? Informationstechnologie; College; Hochschule; Fachhochschule; Auswertung; Procurement of information; Informationsbeschaffung; Decision-making; Entscheidungsfindung
Abstract	Having an abundance of data residing in individual silos across campus, but little decision-ready information, is a typical scenario at many institutions. One problem is that the terms "data warehousing" and "business intelligence" refer to very different things, although the two often go hand-in-hand. "Data warehousing" describes an architecture for storing data; "business intelligence" involves analytics run against that data in order to discover patterns and glean information to analyze past performance and predict future events. Typically, a data warehouse is constructed first, in itself a complex process that requires significant planning and institution-wide coordination. Business intelligence tools are then used on the warehoused data to produce reports, dashboard displays, and other windows into the data. This article discusses how two leading academic institutions facing critical data warehousing and business intelligence challenges find powerful and dynamic solutions. (ERIC).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10