Laymen often tend to confuse these two terms, Data Analytics and Business Analytics. However, both Data Analytics and Business Analytics are fundamentally different. The major difference being the approach adopted by these two techniques to reach a conclusion. Data analytics uses a data driven approach to reach conclusions, Business Analytics on the other hand is focused on evaluating multiple kinds of information.
Fundamental Differences between these two:
Data analytics is the systematic application of statistics and other similar techniques to analyse data. Business Analytics is a practical approach which though based on data is more oriented towards an actionable goal. Data Analytics, in simple words is the science of making sense out of data, Business Analytics is more like putting the information received from data to a practical use.
Who is a Data Analyst?
Their job portfolio includes extraction, manipulation and analysis of data. Their job does not merely include analysing data, but they also have to explain it to corporate leaders in order to help them make smarter decisions.
How to become a data Analyst?
You need a lot of skills to become a data scientist. Try and get certified in those skills from recognised institutions and apply for data analytics job positions in different organizations. Some of these skills are:
1. Knowledge of Programming Languages.
2. Linear Algebra, statistics and Computer Science.
3. Data Visualization
4. Data Science
5. Interpersonal skills.
Who is a Business Analyst?
The key difference between Business Analytics and Data Analytics is the utilisation of data. Business Analysts help companies use the information received from data to make informed Business decisions.
How to become a Business Analyst?
In order to become a Business Analyst, any degree in business management will suffice. However, to become successful you need to hone your skills and add the following additional skills to your portfolio:
1. Critical and Analytical Thinking
2. Communication Skills
3. Problem Solving skills
4. Process Management
5. Knowledge of technologies involved in Analytics.
Business analytics and Data Analytics, though often confused to be the same, are actually entirely different when it comes to the requisite skill set and purpose. If you are aspiring to pursue either of the two, or if you are confused between which role to choose, perform an extensive research on these topics, self introspect and then make an informed decision.