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Can I read Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications on EtoBox?
Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications by Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, (eds.) is a nonfiction available to read on EtoBox.
What is Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications about?
Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from so
Who reads Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, (eds.)
- Publisher
- CRC Press
- Published
- 2023
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Organization And Data Processing, Stem
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