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Business Intelligence Grundlage: Qualitäten und Quantitäten Grob gesprochen enthält ein Datawarehouse zwei Arten von Daten, Dimensionendaten und Faktdaten, oder, in anderen Worten,
Open source business intelligence from Pentaho saves your business time and money. We specialize in open source reporting, open source etl & data integration and open source olap.
"Amazon Mechanical Turk is a marketplace for work that requires human intelligence. The Mechanical Turk web service enables companies to programmatically access this marketplace and a diverse, on-demand workforce. Developers can leverage this service to build human intelligence directly into their applications." Sample Business Cases: http://aws.amazon.com/mturk/#bus-case "We had the wrong idea about computers managing without human beings. Computers have realised that the real way to make money is to employ millions of people doing jobs computers cannot do, and for pennies." (Pierre Lazuly) http://www.readwriteweb.com/archives/how_to_use_mechanical_turk_to_rock_conference_blogging.php
All manuscripts must be prepared in English, and are subject to a rigorous and fair peer-review process. Accepted papers will immediately appear online followed by printed in hard copy.
With Google Insights for Search, you can compare search volume patterns across specific regions, categories, time frames and properties. See examples of how you can use Google Insights for Search.
Unlike traditional BI, an operational BI system should be focused on influencing the interaction with your customer to provide benefit to both the customer and your business. Traditional BI, while often seen as a tool with a very fuzzy ROI, is nonetheless necessary for conducting business. Operational BI, on the other hand, provides a much clearer benefit because it directly addresses your business.
1. Decisions are the unit of work to which BI initiatives should be applied.
2. Providing access to data and tools isn't enough if you want to ensure that decisions are actually improved.
3. If you're going to supply data to a decision-maker, it should be only what is needed to make the decision.
4. The relationship between information and decisions is a choice organizations can make--from "loosely coupled," which is what happens in traditional BI, to "automated," in which the decision is made through automation.
5. "Loosely coupled" decision and information relationships are efficient to provision with information (hence many decisions can be supported), but don't often lead to better decisions.
6. The most interesting relationship involves "structured human" decisions, in which human beings still make the final decision, but the specific information used to make the decision is made available to the decision-maker in some enhanced fashion.
7. You can't really determine the value of BI or data warehousing unless they're linked to a particular initiative to improve decision-making. Otherwise, you'll have no idea how the information and tools are being used.
8. The more closely you want to link information and decisions, the more specific you have to get in focusing on a particular decision.
9. Efforts to create "one version of the truth" are useful in creating better decisions, but you can spend a lot of time and money on that goal for uncertain return unless you are very focused on the decisions to be made as a result.
10. Business intelligence results will increasingly be achieved by IT solutions that are specific to particular industries and decisions within them.
J. Seeburger, A. Karduck, and A. Rashid. Proceedings of the Workshop on Business Intelligence Methodologies and Applications (BIMA'08) (in conjunction with ICEBE 2008), (2008)