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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 (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 ...
Among other things, the value of Ke and the Cost of Debt (COD) [6] enables management to arbitrate different forms of short and long term financing for various types of expenditures. Ke applies most prominently to companies that regularly generate excess capital (free cash flow, cash on hand) from ongoing operations.
Oracle Business Intelligence Enterprise Edition 11g: A Hands-On Tutorial (1st ed.). Packt Publishing. ISBN 978-1849685665. Darlene Armstrong-Smith, Michael Armstrong-Smith (20 November 2013). Oracle Business Intelligence Discoverer 11g Handbook (1st ed.). Oracle Press. ISBN 978-0071804301.
Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.
The maturity levels for business intelligence are: operational reporting; analytic reporting; business dashboards; analytic applications; It may extend further to predictive analytics, or predictive analysis may form part of the analytic application - depending on both the subject matter under analysis, and the nature of the analysis required.
SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...
A business analyst should have knowledge in IT and/or business, but the combination of both of these fields is what makes a business analyst such a valuable asset to the business environment. As a minimum standard, a business analyst should have a "general understanding of how systems, products and tools work" in the business environment.