What is Data Mining?

Data mining is a very systematic process of identifying, digging, and discovering hidden information and patterns from huge data sets. The process does not provide insights.

What is Data Analysis?

Data analysis is a statistical process that helps the analyst to conclude the data. The process is generally used to provide insights that can be used to improve their business decisions. Because of this process businesses identify the core area they need to work on and need to improve.

How Does Data Mining and Data Analysis Come Together?

Data mining concentrates on precise patterns from large databases.

Data analysis will organize the unprepared data for useful insights and business decisions.

Most data mining studies are done on structured data whereas data analysis is done on both structured, semi-structured, or unstructured data.

One of the goals of data mining is to make data more usable.

Data analysis helps to prove a hypothesis or in taking business decisions.

In data mining, the area of expertise includes machine learning, database, and statistics.

The area of expertise in data analysis includes statistics, mathematics, and subject knowledge.

A data mining specialist is a data analyst but he has extensive knowledge of hands-on coding. They build algorithms to identify structure and patterns in the data.

Since data analysis involves preparing the raw data, cleansing the data, transforming, and then finally presenting it in the form of based visualizations. This is not a job of a single person and hence an entire team has to do it.

Data mining does not need visualizations such as bar charts or graphs, whereas all these visualizations are the bread and butter of data analysis because without a good representation of data every effort that is put into the analysis will not be satisfactory.

Conclusion

Data mining and data analysis have been around for a long time. Some people term them as one while most of them have understood the difference between them. Both data mining and data analysis are essential to be done perfectly.

People have also learned the difference between the two fields and appreciate the areas and also respect the boundaries of the two fields.

Data mining and data analysis both are equally important in this data-driven world. Both these fields also require people with a good skillset.

While the data analysis tools are becoming simpler, data mining will require expertise because results can be difficult to describe and you will need to verify them using other methods.

To function data mining and data analysis needs a strong data warehouse. This just means that more attention needs to be given to the aspects of ETL as well as the analytic capacity.

The final result of the data is good as long as the data that is being fed to the system is good.

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