Augmented Analytics: Comparing Features between BI Tools

March 29, 2023 - Aptaworks

Augmented analytics has been regarded as the future of Business Intelligence. But what is it about, which techniques does it involve, and what features are offered by augmented analytics tools readily available in the market?

 

What is Augmented Analytics? 

Augmented analytics refers to the use of artificial intelligence (AI) and machine learning (ML) technologies to assist with data preparation, analysis, and visualization.

Traditionally, dealing with the vastness and complexity of company data in order to extract valuable business insights is reserved for data professionals as they are the ones having the knowledge and expertise required to perform techniques used in augmented analytics.

Now, the appearance of augmented analytics tools enables anyone within a company to carry out augmented analytics. It also helps data professionals in making deeper yet faster analyses of data.

 

Augmented Analytics Techniques

Augmented analytics tools usually employ machine learning, natural language processing (NLP), and natural language generation (NLG) to automate the above processes. 

 

Machine Learning 

Machine learning (ML) is a branch of AI that uses algorithms and statistical models to enable computers to learn from data, recognize patterns, and make predictions or decisions. 

In augmented analytics, ML algorithms are the technology that allows the data analysis and insight generation processes to be automated. It also helps in streamlining the data preparation process including data collection, discovery and profiling, cleansing, structuring, as well as enrichment. 

Semantic Analysis 

Semantic analysis refers to the process of understanding the context or meaning behind a text or speech. 

In augmented analytics, semantic analysis involves NLP and NLG so anyone in a company can communicate with the company data using natural speech patterns and receive answers that are easily understandable. 

 

Augmented Analytics Tools & Features 

Now that we have been acquainted with how augmented analytics works, let’s look at a few popular augmented analytics tools and compare the features they offer!

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