Advantages of Augmented Analytics in Data Storytelling

Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. 

With the power of augmented analytics, we can now tell a data story about a business and its customer. This is done by combining data with visuals to make it as easy as possible to understand.

In the modern world, the ability to tell a compelling data story is vital for any company that wants to succeed. With augmented analytics, anyone can be a data storyteller because you don’t need any coding skills. All you need is a little bit of creativity and an understanding of how your customers use technology.

Written by Srikanth

Passionate Tech Blogger on Emerging Technologies, which brings revolutionary changes to the People life.., Interested to explore latest Gadgets, Saas Programs

One Comment

  1. Perhaps the most effective use of augmented analytics by business users is that they can leverage their market, professional and domain knowledge to gather and analyze data and make recommendations and suggestions to enhance the value of their team and the effectiveness of decisions within the organization. For those who are not data scientists, story telling with data is important. It allows the user to present information in a way that will be relevant and convincing and will help staff, managers and others to digest the information and to make the decision. Courses that help business users understand the role of a Citizen Data Scientist and how to interact with and collaborate with others, how to use the augmented analytics tools and techniques are very important to help the organization shift the culture and support the new environment.

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