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What is Business analytics?

Business analytics will deal with various techniques and methods, which help companies to gauge their performance. Analytics is also used in conjunction with applied business statistics. Various statistical methods used in Business analytics will be applied to a project or a product. It is widely used by companies that will take decisions based on the previous history of events. Various methodologies that are used include predictive analysis, data mining and statistical analysis to thoroughly analyse user data and find out the trends with outcomes. These help you to make smart and data-driven decisions. Business analytics will make use of huge amounts of data or historical data with the aim to give insights that can help business growth. The best thing is these analytics will also take unknown insights and identify unanticipated issues to generate high value for the business.
You can also leverage analytics to create new processes that can solve business challenges, and boost efficiency, productivity and revenue.
With BA you can easily turn data into valuable insights besides building statistical models to make projections for the business on how it may perform in the future. You can also pitch ideas to improve the performance. It gives valuable advice to management on decision-making. It also helps the company to stay prepared for any change in market trends. You can also analyse the business environment you are in and learn to become competitive besides taking the right business decisions that can increase revenue and reduce risks.
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Different types of business analytics

With the following types of business analytics, you can analyse the data thoroughly to come up with solutions for problems that are being faced by businesses today.

Descriptive Analytics
The descriptive analysis will give you a quick view into the past with the help of the data that is available. This allows the users to learn what exactly happened in the past to a business. It is performed at the preliminary stage of processing data to create a summary of past events and is best to do further analysis. Two methods such as data mining and data aggregation are used to perform this type of analysis.

Diagnostic Analytics
It is also known as discovery analytics which is used for machine learning. It helps you to find out intriguing patterns and correlations with the data without having to ask any questions. Various techniques such as probabilities, data mining and correlations will be used to find out the root cause of problems and establish the correlations. It is an ideal way to find out why the event has happened. This also provides the context on how to move ahead.

Predictive Analysis
It is primarily focused to forecast the likelihood of outcomes and events in the business and will extract information from past data. It uses various techniques such as statistical modelling and machine learning to forecast trends, detect risks and learn new opportunities. It also boosts the confidence of businesses to save more and generate more revenue. Predictive analysis is used by retailers to forecast inventory, manage to ship and set up stores that can improve sales. It is also used by airlines to predict fares based on the trends and demand for tickets to a particular destination. Hotels will also use this type of analysis to find out the increase in capacity of people to stay prepared with the rise in bookings.

Prescriptive Analytics
It is the crucial stage of business analytics which helps the business know what to do and what are the best actions to be taken when you go on a specific path. It shows you the outcome by following a specific path and recommends you choose the right path.

Business analytics tools

Here are the business analytics tools that are used by companies

The tool is power-packed with rich text analytics that allow users to thoroughly inspect and transform the data which is unorganized into something relevant to find out meaningful insights. It also has a lot of statistical tools that will help you analyse the datasets in real-time.

It is the widely preferred tool for business analytics. The in-memory processing will help you generate super-fast business analytics reports. Various tools that are available will help you visualize data.

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