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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 .
In addition, he is the co-author of the books: Enabling Real-Time Business Intelligence and Business Intelligence. Middelfart's work has been cited in work dedicated to exploring knowledge base inspection. [1] He has also published several peer-reviewed articles that outline his philosophy and technological developments in detail. [2] [3] [4 ...
With S. Goedertier. In: Lecture Notes in Computer Science. vol. 4103, pp. 5 – 14. 2007. "A new approach for discovering business process models from event logs". With S. Goedertier et al. DTEW - KBI_0716, pp. 1 – 20. 2007. "EM-BrA2CE v0.1: A vocabulary and execution model for declarative business process modeling". With S. Goedertier and R ...
Download as PDF; Printable version; In other projects Wikimedia Commons; ... Business Intelligence Competency Center; Business Intelligence Markup Language; C. Joe ...
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 .
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 – Businesses collect large amounts of data, daily. Some examples of types of data collected in business operations include; sales data, consumer behavior data, distribution data. An augmented analytics platform provides access to analysis of this data, which could be used in making business decisions.