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The analysis of the global environment of a company is called global environmental analysis. This analysis is part of a company's analysis-system, which also comprises various other analyses, like the industry analysis, the market analysis and the analyses of companies, clients and competitors. This system can be divided into a macro and micro ...
In business analysis, PEST analysis (political, economic, social and technological) is a framework of external macro-environmental factors used in strategic management and market research. PEST analysis was developed in 1967 by Francis Aguilar as an environmental scanning framework for businesses to understand the external conditions and ...
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. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions.
There are numerous site elements related to the analysis during this phase. This is part of the analysis phase in site planning. Synthesis phase: From the analysis, a program is developed, which is part of the synthesis phase. The third step deals with schematic design of a site plan as well as a preliminary cost estimate for the site. Step ...
The situation analysis looks at both the macro-environmental factors that affect many firms within the environment and the micro-environmental factors that specifically affect the firm. The purpose of the situation analysis is to indicate to a company about the organizational and product position, as well as the overall survival of the business ...
Context analysis is a method to analyze the environment in which a business operates. Environmental scanning mainly focuses on the macro environment of a business. But context analysis considers the entire environment of a business, its internal and external environment. This is an important aspect of business planning.
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 ...
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]