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III International Scientific and Practical Conference «EDUCATION AND SCIENCE OF TODAY: INTERSECTORAL ISSUES AND DEVELOPMENT OF 2022
DOI: 10.36074/logos-20.05.2022.058
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The Quantitative Evaluation of Leading Business Intelligence Software Platforms

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“…According to the Gartner IT Glossary, Business Intelligence is the umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize business decisions and performance [1]. Core BI capabilities include Reporting (taking raw data and turning it into information used to make business decisions), Dashboards (pages where reports, graphs, and charts can be placed to create a central location for critical business information), Ad-hoc Querying (real-time reporting to explore questions while looking through the data), OLAP (On-Line Analytical Processingefficient multidimensional processing of large data volumes to provide fast and interactive answers to large aggregate queries), Data Mining and Machine Learning (serve to dig through huge amounts of data and come up with predictions), and Scorecards (designed to help measure progress towards goals by various groups of measures) [2].…”
Section: Introductionmentioning
confidence: 99%
“…According to the Gartner IT Glossary, Business Intelligence is the umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize business decisions and performance [1]. Core BI capabilities include Reporting (taking raw data and turning it into information used to make business decisions), Dashboards (pages where reports, graphs, and charts can be placed to create a central location for critical business information), Ad-hoc Querying (real-time reporting to explore questions while looking through the data), OLAP (On-Line Analytical Processingefficient multidimensional processing of large data volumes to provide fast and interactive answers to large aggregate queries), Data Mining and Machine Learning (serve to dig through huge amounts of data and come up with predictions), and Scorecards (designed to help measure progress towards goals by various groups of measures) [2].…”
Section: Introductionmentioning
confidence: 99%