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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 ...
Business analytics is a rapidly developing business process that applies statistical methods to data sets (often very large) ... additional terms may apply.
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.
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In the fields of Information Technology (IT) and Systems Management, IT operations analytics (ITOA) is an approach or method to retrieve, analyze, and report data for IT operations. ITOA may apply big data analytics to large datasets to produce business insights. [1] [2] In 2014, Gartner predicted its use might increase revenue or reduce costs. [3]
OI provides continuous, real-time analytics on data at rest and data in-flight, whereas BI typically looks only at historical data at rest. OI and BI can be complementary. OI is best used for short-term planning, such as deciding on the “next best action,” while BI is best used for longer-term planning (over the next days to weeks).
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
Image source: The Motley Fool. Comcast (NASDAQ: CMCSA) Q4 2024 Earnings Call Jan 30, 2025, 8:30 a.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...