User talk:Bwieser

License tagging for File:LakeNewell.JPG
Thanks for uploading File:LakeNewell.JPG. You don't seem to have indicated the license status of the image. Wikipedia uses a set of image copyright tags to indicate this information.

To add a tag to the image, select the appropriate tag from this list, click on this link, then click "Edit this page" and add the tag to the image's description. If there doesn't seem to be a suitable tag, the image is probably not appropriate for use on Wikipedia. For help in choosing the correct tag, or for any other questions, leave a message on Media copyright questions. Thank you for your cooperation. --ImageTaggingBot (talk) 06:07, 8 July 2011 (UTC)

October 2012
Thank you for your recent contributions, such as Calgary centennial planetarium. Getting started creating new articles on Wikipedia can be tricky, and you might like to try creating a draft version first, which you can then ask for feedback on if necessary, with less risk of deletion. Do make sure you also read help available to you, including Your First Article and the Tutorial. You might also like to try the Article Wizard, which has an option to create a draft version. Thank you. Eeekster (talk) 21:08, 19 October 2012 (UTC)

Speedy deletion nomination of Calgary centennial planetarium


A tag has been placed on Calgary centennial planetarium requesting that it be speedily deleted from Wikipedia. This has been done under section A1 of the criteria for speedy deletion, because it is a very short article providing little or no context to the reader. Please see Wikipedia:Stub for our minimum information standards for short articles. Also please note that articles must be on notable subjects and should provide references to reliable sources that verify their content.

If you think that the page was nominated in error, contest the nomination by clicking on the button labelled "Click here to contest this speedy deletion" in the speedy deletion tag. Doing so will take you to the talk page where you can explain why you believe the page should not be deleted. You can also visit the page's talk page directly to give your reasons, but be aware that once a page is tagged for speedy deletion, it may be removed without delay. Please do not remove the speedy deletion tag yourself, but do not hesitate to add information that is consistent with Wikipedia's policies and guidelines. If the page is deleted, you can contact one of these administrators to request that the administrator userfy the page or email a copy to you. TBrandley 21:09, 19 October 2012 (UTC)

Risk intelligence and competitive advantage
One of the most important goals of risk intelligence is that to help organizations to achieve and sustain competitive advantage. By helping organizations to gather information regarding market vagueness. Consequently, organizations will be able to make better and informed decisions. Risk intelligence tools could assist in many different decisions a company could make for example investing decisions, whether to purchase new stocks or not. Political risks, how building a facility in a country will harm the operations because of some political events. Project risk, which includes tools to forecast and estimate uncertain events that could occur and effect the project`s profitability or have a negative impact on the project`s plan. Competitive risk, which enable an organization to identify their competitors, gather information about their products, services and their current technologies in addition to monitor the market. The main idea is that companies could gain the competitive advantage when using risk intelligence tools by enabling them to identify the risk they surrounded with and discovering what they should improve. However, Businesses are using business intelligence tools to enhance risk management and risk management tools benefit from business intelligence approaches.There are many examples that most companies uses to improve their risk management including fuzzy logic, neural networks and genetic algorithms/evolutionary computation and optimization approaches. Some usages of them are: Early-Warning Systems. It studies the external environment such as economic to implement models that help the organization to reduce risks before the project failure. Neural Networks Based Risk Analysis It used to identify patterns in complex structure of data. Game Based Risk Analysis Is a game theory which studies the role of competitive strategy. Data Mining in Enterprise Risk Management Applies statistical and artificial intelligence tools and analyse of large data sets.