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However, the characteristics that uniquely identify operational analytics is the requirement for quick predictions based on most recent signals. This means that the data latency and query latency are very small. For example, operational analytics applied to real time business processes specify that data latency be zero. It also means that ...
Operations research (British English: operational research) (U.S. Air Force Specialty Code: Operations Analysis), often shortened to the initialism OR, is a branch of applied mathematics that deals with the development and application of analytical methods to improve management and decision-making.
In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).
Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions.
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...
A target operating model can be a one-page document – the operating model Canvas is an example. [3] It can also be 10 pages or 100 pages. [4] If the document is more than 100 pages it becomes a manual rather than a model. Target operating models provide the vision for organisations undergoing change.
Operationalization is the scientific practice of operational definition, where even the most basic concepts are defined through the operations by which we measure them. The practice originated in the field of physics with the philosophy of science book The Logic of Modern Physics (1927), by Percy Williams Bridgman, whose methodological position is called "operationalism".
Operational risk management (ORM) is defined as a continual recurring process that includes risk assessment, risk decision making, and the implementation of risk controls, resulting in the acceptance, mitigation, or avoidance of risk.