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A Quarterly, Utilization-Adjusted Series on Total Factor Productivity
A Quarterly, Utilization-Adjusted Series on Total Factor Productivity

... cashiers, auto mechanics, dentists, engineers, CEOs, and so forth. These workers have very different wage rates which, presumably, correspond to differences in marginal products. Similarly, a computer (which provides a service flow for only three or four years) needs to have a higher marginal produc ...
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... applications, often informally UHIHUUHGWRDVµMDFUR¶It allows us to script and automate almost any procedure that can be done manually. It lends itself to any procedure that the user finds themselves having to do repetitively, or a task that an administrator would prefer to be automatic and not s ...
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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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