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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 ...
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 .
Business Intelligence 2.0 (BI 2.0) is a development of the existing business intelligence model that began in the mid-2000s, where data can be obtained from many sources. The process allows for querying real-time corporate data by employees but approaches the data with a web browser -based solution.
Business informatics includes significant construction and implementation-oriented elements. Another thing is one major focus lies in the development of solutions for business problems rather than the ex post investigation of their impact. Information systems (IS) focus on empirically explaining the phenomena of the real world. Information ...
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]
Business intelligence software is a type of application software designed to retrieve, analyze, transform and report data for business intelligence (BI). The applications generally read data that has been previously stored, often - though not necessarily - in a data warehouse or data mart .
Agile Business Intelligence (ABI) refers to the use of agile software development for Business Intelligence (BI) projects. ABI attempts to enable the BI team, business people, analysts and/ or stakeholders to make business decisions more quickly. [1] [2] There are multiple approaches for improving or increasing BI agility.
Financial intelligence also means being able to understand a business's financial results in context - that is, within the framework of the big picture. Factors such as the economy , the competitive environment, regulations and changing customer needs and expectations as well as new technologies all affect how the numbers are interpreted.
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