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所在平台: Udemy |
课程主页: https://www.udemy.com/course/modern-business-intelligence/
课程评论：没有评论
**课程名：现代商业智能** **课程概述：** 本课程深入探讨现代商业智能（Business Intelligence, BI）的核心概念与实践。商业智能是将商业分析、数据挖掘、数据可视化、数据工具与基础设施以及最佳实践相结合，旨在帮助组织做出更明智的数据驱动决策。当您能够全面了解组织数据，并利用这些数据推动变革、消除低效、快速适应市场或供应链变化时，便实现了现代商业智能。 商业智能通过在业务背景下呈现当前和历史数据，帮助公司做出更优决策。分析师可以利用商业智能提供绩效和竞争对手基准，从而使组织运行得更顺畅、更高效。分析师还能更轻松地发现市场趋势，以增加销售额或收入。有效利用数据，可以在合规性、招聘乃至更多方面提供支持。 企业和组织面临问题和目标。为了解答这些问题并追踪目标绩效，它们会收集必要数据、进行分析，并确定为实现目标应采取的行动。在技术层面，原始数据从业务活动中收集，经过处理后存储在数据仓库中。数据一旦存储，用户便可访问，进而开始分析过程，以回答业务问题。 商业智能包含数据分析和商业分析，但仅将它们视为整个流程的一部分。商业智能帮助用户从数据分析中得出结论。数据科学家则深入探究数据的具体细节，利用高级统计和预测性分析来发现模式并预测未来趋势。
Business intelligence combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions. In practice, you know you have got modern business intelligence when you have a comprehensive view of your organizations data and use that data to drive change, eliminate inefficiencies, and quickly adapt to market or supply changes.Business intelligence can help companies make better decisions by showing present historical data within their business context. Analyst can leverage business intelligence to provide performance and competitor benchmarks to make the organization run smoother and more efficient. Analyst can also more easily spot market trends to increase sales or revenue. Used effectively, the right data can help with anything from compliance to hiring efforts.Businesses and organizations have questions and goals. To answer these questions and track performance against these goals, they gather the necessary data, analyze it , and determine which actions to take to reach their goals. On the technical side, raw data is collected from the business activity. Data is processed and then stored in data warehouses. Once it's stored, users can then access the data, starting the analysis process to answer business questions.Business intelligence includes data analytics and business analytics, but uses them only as part of the whole process. Business intelligence help users draw conclusions from data analysis. Data scientists dig into the specifics of data, using advanced statistics and predictive analytics to discover patterns and forecast future patterns.
