What are data analytics used for?

Today, we know how the world is changing day by day and how businesses are moving towards being data-driven businesses where all the decisions are made through the analysis of data and information. The method of estimating data with the help of statistical and analytical tools to find useful information is called data analysis. After the data is gathered and classified with the help of these tools, the results we get are studied to make decisions.

Business intelligence

Business Intelligence is the process of transforming data into the form of intelligence and it is used to make business decisions. It can be used in strategic and diplomatic business decisions of an organization. It helps to examine patterns and trends from the gathered data to get intuitions or insights from it. After reading and studying the data, the decision makers are able to find new upcoming windows to provide effective methods to compete with other companies and have long-term stability.

Data mining

Data mining means analyzing and exploring huge datasets of information to extract useful information like trends and patterns observed. It can have applications in many ways like fraud detection, filtering of spam email, database management, CRM (customer relationship management), manufacturing engineering, future healthcare, market basket analysis, financial banking, customer segmentation, etc.

·        Data mining uses analytics and data which helps to improve healthcare and also makes it cost- effective. It can also detect abuse and fraud for healthcare insurers.

·        Market basket analysis is a technique which is based on a logic that if a customer buys a certain product, he is also likely to buy another product similar to it.

Text mining

Text mining is extensively used in organizations which are knowledge-driven. It is the procedure of inspecting large document collections to find fresh information and helps to answer certain specific research questions. Some of the places where text mining is used are risk management, knowledge management, cyber crime prevention, customer care service, content enrichment, contextual advertising, data analysis of social media, etc.

·        It takes a lot of effort to manually work on large contents, but it eases the process when we bring in the use of text mining tools.

·        Text analysis is utilized in giving better customer care service to the customers by providing a quick and automated response to the doubts and issues of customers that in turn reduces their dependency on call centers.

Data visualization

Data visualization is the term used for conveying the perception of data through the representations that are visual in nature. It helps to simplify many complex forms of data. It helps with unwrapping big data.

·        It’s a fact that 90% of the information sent to the brain is visual and data visualization techniques help you to convey most of the information to the other person. This also quickens the process of decision making.

·        It can also help to find trends and patterns. It facilitates you to show the relationship between results and operations.

·        It is more likely and easy for a company to acquire data with data visualization. By acquiring information in real time, businesses can have an edge over competitors.

Resource box

So these were some of the places where data analytics are used and are proving to be very beneficial. While there’s always room for improvement, we’ve come very far in our society where most of the business decisions are starting to depend on data analysis and its use is also going to tremendously increase in the future. ExcelR provides Data Analytics Courses in Pune that can help a lot in gaining skills and knowledge in these fields.