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Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription. [1] Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, [2] and fact-based management to drive decision making.
Competitive intelligence is a legal business practice, as opposed to industrial espionage, which is illegal. [4]The focus is on the external business environment. [5]There is a process involved in gathering information, converting it into intelligence, and then using it in decision-making.
Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [3]
This automated analysis capability enables corrective actions to be initiated and/or business rules to be adjusted to optimize business processes. RTBI is an approach in which up-to-a-minute data is analyzed, either directly from operational sources or feeding business transactions into a real time data warehouse and business intelligence system.
Creating and modifying species (mainly improving their physical and mental capabilities), bio-machines, eliminating genetic disorders (gene therapy), new materials production, [89] healthier and cheaper food, creating drugs and vaccines, research in natural sciences, bioremediation, [90] detecting arsenic, [91] CO2 reducing superplant, [92]
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