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The following is a list of scholarly journals in economics containing most of the prominent academic journals in economics. Popular magazines or other publications related to economics , finance , or business are not listed.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.
Business informatics centers around creating programming and equipment frameworks which ultimately provide the organization with effective operation based on information technology application. [1] The focus on programming and equipment boosts the value of the analysis of economics and information technology.
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 ...
The journal is written in a clear and accessible manner in order to maximize understanding of economics and policymaking, and covers a variety of macroeconomic topics from housing, business investments, and fiscal and monetary policy, to international capital flows, environmental issues, and more. [2]
The term data processing has mostly been subsumed by the more general term information technology (IT). [5] The older term "data processing" is suggestive of older technologies. For example, in 1996 the Data Processing Management Association (DPMA) changed its name to the Association of Information Technology Professionals. Nevertheless, the ...
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
Big data is defined as the algorithm-based analysis of large-scale, distinct digital data for purposes of prediction, measurement, and governance. [6] [7] This involves processing vast amounts of information from various sources, like social media, sensors, or online transactions, using advanced computer programs (algorithms).