目录
1.概念和术语
1.1 什么是BI(商业智能)
1.2 什么是KPI(关键性能指标)
1.3 什么是数据集
1.4 什么是analysis
1.5 什么是analytics
2.大数据的特点
3.大数据的用途
1.概念和术语
1.1 什么是BI(商业智能)
BI代表商业智能(Business Intelligence),它是一种利用技术和工具来收集、整理、分析和可视化企业内部和外部数据的过程
通过使用BI,企业可以实现以下几个方面的价值:
(1)企业能通过分析其业务流程和数据来深入的了解企业的性能
(2)管理人员可以使用分析的结果来指导业务
(3)可用于改进业务应用程序,整合数据仓库中的数据并用以分析查询
Translation:
BI stands for Business Intelligence, which is the process of utilizing technologies and tools to collect, organize, analyze, and visualize internal and external data within an enterprise
By using BI, businesses can realize the following value:
(1) An enterprise can gain insight into its performance by analyzing its business processes and data
(2) Managers can use the results of the analysis to guide the business
(3) Can be used to improve business applications, integrate data in data warehouses, and analyze queries
1.2 什么是KPI(关键性能指标)
KPI(Key Performance Indicator)是一种衡量企业、组织或个人在实现其战略目标和业务目标方面表现的定量指标。通常与组织的战略和目标紧密相关,并被用来评估绩效、监测进展和指导决策
Translation:
A KPI is a quantitative indicator that measures the performance of a business, organization or individual in achieving its strategic goals and business objectives. It is often closely linked to an organization's strategy and objectives and is used to assess performance, monitor progress and guide decision making
1.3 什么是数据集
相关数据的集合或者组称为数据集
Translation:
A collection or group of related data is called a dataset
1.4 什么是analysis
analysis译为“数据分析”是通过检查数据来发现事实、关系、模式、见解、趋势等的过程,analysis的总体目标是支持更好的决策
Translation:
analysis is the process of examining data to discover facts, relationships, patterns, insights, trends, etc. The overall goal of analysis is to support better decisions
1.5 什么是analytics
analytics与analysis同译为“数据分析”,但analytics是更广泛的术语,包括对完整数据生命周期的管理,包括收集、清理、组织、存储、分析、和管理数据
ps:analytics包含analysis
Translation:
analytics is a broader term that includes the management of the complete data lifecycle, including collecting, cleaning, organizing, storing, analyzing, and managing data
ps:analytics includes analysis
2.大数据的特点(Characteristics of big data)
(1)volume:体积(大)
(2)velocity:速度(快)
(3)variety:(数据)多样化
(4)veracity:(数据)准确,指数据质量高
(5)value:(业务)价值
3.大数据的用途(Uses of Big Data)
大数据的主要用途是数据分析(analytics),数据分析(analytics)主要包括以下几点:
(1)描述性分析
(2)诊断分析
(3)预测分析
(4)规范性分析
Translation:
The main use of big data is data analytics, which mainly includes the following points:
(1) Descriptive analysis
(2) Diagnostic analysis
(3) Predictive analysis文章来源:https://www.toymoban.com/news/detail-780066.html
(4) Normative analysis文章来源地址https://www.toymoban.com/news/detail-780066.html
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