Well from the title you will be thinking what the hell is Augmented Business Intelligence? Well, it is the combination. Combination of augmented Analytics and a more complicated understand-the of business intelligence. So first of all what is augmented analytics? Let me answer your question.
In augmented analytics, insights are obtained, insights are explained, and data is prepared. These technologies can be very useful to the users who explore or want to explore the
data analytics in Business Intelligence.
So, you must be thinking that what is business analytics, and what does it have to do with the businesses?
Business analytics is one type of analytics where the business organization's data is collected, analyzed, and stored.
Well, that's an interesting question indeed. Well about this particular question, BI (Business Intelligence) gets enhanced with the help of Augmented Analytics.
Basically augmented analytics use the help of Artificial intelligence and blend in with Business Intelligence. The isolated database can be useful to create basic reports of a particular business organization.
With this information now you will know that future of augmented analytics and Business intelligence is very bright. But there are some basic technologies used in both of these. We will try to understand them.
Below are the technologies that have been used in this Augmented Business intelligence
Big Data in AA
Before you ask me first I want you to know that
Big Data is not a child’s play and it is very tough to get. Well, basically Big Data is a large number of structured and unstructured data. A big data set consists of traditionally stored data that is difficult and complex to process. None of the tools or management tools can effectively manage it.
Natural Language Processing For Business Intelligence
This natural language processing system interprets and manipulates natural languages as humans do. A natural language processing system is used to make improved chatbots.
Artificial Intelligence With Machine Learning
Ai and Machine Learning help people to prepare and analyze the data, not only these it allows them to get insights into the data. Automation of the task is also done by both of these. What kind of automation?
Automation in developing, managing, and deploying artificial intelligence and machine learning. With the Help of AI, any machine can analyze a huge amount of data.
Augmented Analytics
Traditional business intelligence requires an immense amount of time to work properly, unlike Business intelligence can give you insights in minutes. To capitalize on-time sensitive opportunities at every level can be provided easily by the Business intelligence.
Business intelligence technology requires Information Technology teams meanwhile Augmented Analytics gives data scientists and data analysts time to rest and focus on other work too.
Augmented Analytics gives you the chance to make the technology accessible to more and more users. Augmented analytics can also enhance your business decision-making and data-driven decision-making.
There are some uses of augmented analysis, one of them is analytics for telecommunication
Telecommunication Industry And Augmented Analytics
Augmented analytics have everything that telecommunication industries need. The telecommunication industry is using analytical systems for ages. We say “We need to change with time” right? Just for the change and upgrading the telecommunication providers are now turning their selves to the new generation of Business Intelligence immersed in Augmented Analytics.
Augmented analysis can analyze the data in a deeper manner. Even if your company has low technical competency Still it won’t change anything for Augmented Analytics. Well, that is the most amazing feature of AA.
Well BI holds the power to take care of huge data and all that features but they will still need the improvement of manual processes of data preparation. Identically this will cost time and money to any business industry. Why use BI when you can have immersed Augmented Analytics software which is fully automated.
With the help of advanced algorithms, this Augmented Analytics thing can process a large amount of data. Let’s take the example from the point of view of the telecommunication industry. It identifies patterns and detects and predicts network anomalies in the telecommunications industry.
Not only this
Augmented analytics helps the company to keep their data always up to date. Also, it identifies the most valuable account for the company.
Now let’s discuss the benefits of Augmented analysis
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More accurate
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Unbelievable speed
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Reduced Bias
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Best Saved Resources
Also Read | How AI and ML are shaping the banking and finance Industry 2022
Conclusion
With the help of AA in BI, it is possible to visualize the insights in an appropriate form. It also performs tasks with higher accuracy and that too without any kind of errors. Also with the help of Augmented analysis, the speed of completing tasks will have risen in ways that you can not even imagine.
The AI-powered system enables outputs within seconds. In addition, Augmented Analysis frees employees from their routine work with data with the help of the software. AA compares millions of patterns just for you to enhance your visualization capabilities.
Also Read
Harnil Oza is a CEO of HData Systems - Data Science Company & Hyperlink InfoSystem a top mobile app development company in Canada, USA, UK, and India having a team of best app developers who deliver best mobile solutions mainly on Android and iOS platform and also listed as one of the top app development companies by leading research platform.
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