15/01/2023
What Is Data Analytics?
Data analytics is the science of analyzing raw data to make conclusions about that information.
什么是数据分析？
数据分析是分析原始数据以得出关于该信息的结论的科学。
#数据分析
KEY TAKEAWAYS
Data analytics is the science of analyzing raw data to make conclusions about that information.
Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make more strategically-guided decisions.
The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
Various approaches to data analytics include looking at what happened (descriptive analytics), why something happened (diagnostic analytics), what is going to happen (predictive analytics), or what should be done next (prescriptive analytics).
Data analytics relies on a variety of software tools ranging from spreadsheets, data visualization, and reporting tools, data mining programs, or open-source languages for the greatest data manipulation.
关键要点
数据分析是分析原始数据以得出关于该信息的结论的科学。
数据分析可帮助企业优化绩效、更高效地执行、最大化利润或制定更具战略性的决策。
数据分析的技术和过程已经自动化为机械过程和算法，这些过程和算法处理原始数据以供人类消费。
数据分析的各种方法包括查看发生了什么（描述性分析）、为什么会发生某些事情（诊断分析）、将要发生什么（预测性分析）或下一步应该做什么（规范性分析）。
数据分析依赖于各种软件工具，包括电子表格、数据可视化和报告工具、数据挖掘程序或用于最大数据处理的开源语言。
