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cfintro
cfintro

...  Many types of documents are now stored electronically.  Learn about the techniques used by cyber-criminals.  Computers may be the instrument used in a crime or the victim of a crime. ...
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... by excluding outliers 1 and extreme outliers 2 as well as the trimmed mean 3 by analyzing outliers and extreme outliers. If skewness 4 and kurtosis 5 values are close to those of a normal distribution, the arithmetic mean is regarded as the modified mean. If atypical values are identified in the dis ...
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... the Protection of Human Rights and Fundamental Freedoms is also applicable to the assessment of the effects of data systems. In the public sector, data protection and information security have also become permanent elements of good governance. Data processing is also crucial to an organization's com ...
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Paper 203

... types are often used for initial storage. Collecting data in one of these formats requires the analyst to execute extra steps, to transform the data into a format suitable for SAS analysis procedures. These extra steps may be eliminated if a database consisting of SAS data tables is created before d ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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