Data Analytics vs Data Analysis: Explore the Difference between Data Analytics and Data Analysis
What is Data Analysis?
Data analysis is the method of scanning, converting, grooming, and modelling raw details, facts and figures to develop beneficial information and gain profitable results.
What is Data Analytics?
Data analytics is the organised computational estimation of data or figures. It is used for finding, understanding, and communicating significant patterns in data.
Difference between Data Analytics and Data Analysis
| S.No. | Data Analytics | Data Analysis |
|---|---|---|
| 1. | It is defined as a standard form of analytics. | It is described as a particularised form of analytics. |
| 2. | It incorporates various phases like the assortment of data and inspection of business data. | In this process, firstly we need to specify raw information, and later on, we need to execute the data conversion process to get significant data from the raw one. |
| 3. | Here we need to use multiple tools including excel, python, Tableau, etc to process the data. | Here we need to use tools like open refine, Node XL, Rapid Miner, etc to analyse the data. |
| 4. | Here we cannot execute descriptive analysis. | Here we can perform descriptive analysis. |
| 5. | It is possible to find anonymous relations with data analytics. | It is not possible to find anonymous relations with data analysis. |
| 6. | It does not encourage inferential research. | It encourages inferential research. |
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