数据分析和数据分析的区别

1. 数据分析：
分析是一种通过在组织问题解决和决策制定的背景下分析这些原始数据评估和感知，将原始事实和数据转换为某些特定行动的技术。分析是对数据中重要模式的发现和对话。尤其是在记录信息丰富的地区，分析依赖于统计、计算机编程和操作查找的同时效用，以保证性能。分析经常支持数据可视化来谈论洞察力。数据分析的目的是获得可操作的见解，从而带来更明智的选择和更高的商业企业成果。

2. 数据分析：
它是一种观察、转换、清理和建模原始事实和数字的技术，目的是开发有益的信息并获得有利可图的结论。

数据分析和数据分析的区别：

S.No.	Data Analytics	Data Analysis
1.	It is described as a traditional form or generic form of analytics.	It is described as a particularized form of analytics.
2.	It includes several stages like the collection of data and then the inspection of business data is done.	To process data, firstly raw data is defined in a meaningful manner, then data cleaning and conversion are done to get meaningful information from raw data.
3.	It supports decision making by analyzing enterprise data.	It analyzes the data by focusing on insights into business data.
4.	It uses various tools to process data such as Tableau, Python, Excel, etc.	It uses different tools to analyze data such as Rapid Miner, Open Refine, Node XL, KNIME, etc.
5.	Descriptive analysis cannot be performed on this.	A Descriptive analysis can be performed on this.
6.	One can find anonymous relations with the help of this.	One cannot find anonymous relations with the help of this.
7.	It does not deal with inferential analysis.	It supports inferential analysis.