Big Data & Analytics

It's not unusual for those who specialise in data analysis to go into business analysis positions. People with a background in either business or data may readily transition into the other field since the two Sets of abilities are so comparable. Work on developing the skills you need and look for ways to use them in your present employment if you want to make the switch from data analysis to business analyst. This may take nothing more than expanding your network to include colleagues from different departments, or it may need learning to use brand-new software at work. Whatever measures you take, they will benefit your business analyst job application by bolstering your CV and giving you more to discuss during the interview.

Business intelligence is a set of methodologies, architectures, processes, and technologies that transform raw data into meaningful and useful information used to enable more effective tactical, strategic, and operational insights and decision-making. Business intelligence includes tactics and tools such as:
1- Data Analytics
2- Benchmarking
3- Real-time monitoring
4- Data and text mining
5- Performance management
6- Dashboard development and reporting
7- Implementation of BI software, like Power BI
It is primarily used by leadership teams and non-technical personnel, such as financial directors, chief executives, or chief information officers. Data analytics is the process of inspecting, transforming, collecting, cleaning, storing, modeling, and querying data. Data analytics' goal is to produce insights that inform decision-making in business and in some other domains, too, such as the government, sciences, or education. Data analytics is divided into 4 parts. These are;
1- Descriptive analytics.
2- Diagnostic analytics.
3- Predictive analytics.
4- Prescriptive analytics. It is usually the data scientists, preserve of analysts and computer programmers who have a more technical focus. I hope this will help you.