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Business Analytics vs. Data Analytics: Which is better?


Business analytics and data analytics are two terms that are very closely related. Every day, a huge amount of data is generated during the process of regular business deals. To get useful information out of this data, many companies today are using both business analytics and data analytics. These two terms are often mistakenly used in place of each other. Through this article, we will try to differentiate between these buzz words. To differentiate between the two, we first need to understand both terms more closely.

What is Data Analytics?

The process of examining a huge volume of unstructured data to draw some useful conclusions from work is called data analysis. The main work of a data analyst is to work with a large amount of data by using various tools and to find relatable patterns in the structured data. It is his work to provide a good graphical representation from the data which is usually obtained in tabular form. The popular tools used by data analysts are:

Data mining: Studying data to identify patterns and trends.

Machine Learning: The process of teaching computers to perform data processing in a faster and automated way.

Text mining: To spot patterns in text-based documents like emails, letters, etc.
Other tools used are big data analytics and predictive analytics. Analyzing data and presenting it in a catchy manner is the main goal of data analysis.

What is Business Analytics?

Business analytics is the process of study of the statistical data of an organization, with the goal of improving the organization’s financial performance. Business analytics can be divided into 3 types-descriptive, predictive and prescriptive.

Descriptive analytics deals with the various incidents that happened in the past.

Predictive analytics uses machine learning and other techniques to study the data from descriptive analytics and predicts the probability of occurrence of various events in the near future.

Prescriptive analytics, as the name suggests, prescribes a list of actions on the basis of descriptive and predictive analytics.

The greater the amount of data, the more accurate is the generated analytics. Any company may use all or any of the above-mentioned techniques, not necessarily in the above-mentioned order. The main goal of business analytics is to modify business strategies with the aim of improving business goals.

So as you can understand, both terms differ very slightly where data analytics has a bigger role. It is simply not possible to perform business analytics without data analytics. If you are confused about what to choose as your career in the future, you need to act according to your abilities and preferences as follows: A data analyst must be able to draw meaningful insights from the huge amount of unstructured data. He may have to work independently, while in business analytics, he needs to work with individuals across organizations to get various information. He must have the ability to make effective decisions which will help in improving business strategies.

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You must decide which one is good for you based on your abilities. Thinking where and how to get started? One of the best courses is available now at Pune by ExcelR on Data Analytics Courses. Hurry up and get enrolled.


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