Intro
Many people and data professionals believe that both data analysis and analytics are the same concepts. This is primarily because both processes involve working with large data sets. However, there are a large number of differences between both concepts. For instance, DA is mainly done to identify trends and solve problems. On the other hand, data analysis is mainly done to improve the decision-making capability of a company. Additionally, by using DA you can identify relationships between different numbers and trends. On the other hand, you cannot use data analysis for identifying relationships between numbers and trends. In a nutshell, both data analysis and analytics are two completely different concepts. Keeping this in mind, today we are going to learn about the key differences between both concepts/processes in detail.
Here are some of the major differences between data analysis and analytics.
What Is Data Analytics?
It is mainly the process of identifying basic facts and numbers by examining raw data. The main aim behind it is to help a company in solving its business problems. Besides this, it also enables a company to make prudent business decisions and achieve better business results. Overall, DA is one of the best ways for a business to solve its business problems. Following are some of the major benefits that DA provides to a firm:
- Helps a company identify key trends/patterns.
- It enables a company to identify possible risks/benefits in its business environment. To learn how to use DA for identifying risks feel free to join our Data Analytics Training in Noida.
- Help firms in developing reliable business strategies, etc.
What Is Data Analysis?
It is mainly the process of cleaning, organizing, manipulating and questioning data to get relevant information. It is a very important part of data analytics. Moreover, it helps a firm in identifying solutions to business problems by giving them access to vital information/data. In other words, a company can get numerous benefits by performing data analysis. There are various techniques that you can use to do data analysis. For instance, you can use techniques like A/B Testing, data fusion, data mining, etc. Following are some of the major benefits that data analysis provides to a company:
- Improves the decision-making capability of a company.
- Helps a company take its proficiency and productivity to new heights.
- Helps a firm improve its capability of managing risk.
Data Analysis vs Analytics
There are a large number of differences between data analysis and analytics. For instance, DA is mainly done to identify trends and solve problems. On the other hand, data analysis is mainly done to improve the decision-making capability of a company. In other words, there are a lot of differences between these two concepts. Following are some of the major differences between data analysis and analytics:
- The scope of DA is very big. On the other hand, the latter is just a small part of the data analytics process.
- DA is mainly done to identify trends and solve problems. On the other hand, data analysis is mainly done to improve the decision-making capability of a company.
- DA consists of numerous stages and data inspection. On the other hand, data analysis only requires processing raw data to get relevant information.
- To perform data analytics you will require to use various technologies like Tableau, Python, Excel, Google Analytics, etc. On the other hand, data analysis requires the use of tools like SPARK, Google Fusion Tables, etc.
- DA involves descriptive analysis. On the other hand, data analysis does not involve descriptive analysis.
- By using DA you can identify the relationship between different numbers and trends. On the other hand, you cannot use data analysis for identifying relationships between numbers and trends. To learn how to use DA for identifying relationships between numbers and trends feel free to join our Data Analytics Training in Delhi.
Conclusion
There are tons of differences between data analysis and analytics. For instance, by using DA you can identify relationships between different numbers and trends. On the other hand, you cannot use data analysis for identifying relationships between numbers and trends. Similarly, data analytics involves descriptive analytics. On the other hand data analysis doesn’t involve descriptive analytics. In other words, both concepts/processes are very different from each other. So, don’t think there are no major differences both data analysis and analytics.
