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Gartner’s 2020 Magic Quadrant is Out! Check out the latest developments in Best Analytics Tools

What’s the best Business Intelligence and Analytics tool in the market?

A plethora of data science and business intelligence professionals and organizations have asked these questions this century. There’s no one-size-fits-all answer here. It remains a highly subjective question, especially given the number of BI and visualization tools in the market.

But if there’s one think tank that we can rely on to provide experienced guidance – that’s Gartner. Gartner releases it’s annual Magic Quadrant for ‘Analytics and Business Intelligence Platforms’ in February. Top tech behemoths and organizations across domains and industries look to this Magic Quadrant to understand which tool they should look towards.

This is how Gartner puts it:

“Augmented capabilities are becoming key differentiators for analytics and BI platforms, at a time when cloud ecosystems are also influencing selection decisions. This Magic Quadrant will help data and analytics leaders evolve their analytics and BI technology portfolios in light of these changes.” – Gartner, 2020

And if you’re wondering where these BI and analytics tools fall in the age of artificial intelligence, Gartner has the answer to that as well. Just check out these numbers:

  • By 2022, augmented analytics technology will be ubiquitous, but only 10% of analysts will use its full potential
  • By 2022, 40% of machine learning model development and scoring will be done in products that do not have machine learning as their primary goal
  • By 2023, 90% of the world’s top 500 companies will have converged analytics governance into broader data and analytics governance initiatives
  • By 2025, 80% of consumer or industrial products containing electronics will incorporate on-device analytics
  • By 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques

That’s incredible!

Looking for Gartner’s Magic Quadrant 2020 for Data Science and Machine Learning tools? Here you go!

 

Gartner’s Framework for the Analytics and BI Magic Quadrant 2020

Business intelligence platforms like Tableau and Qlik are no longer judged based on their data visualization capabilities. That’s become mainstream now and we can see that across almost all platforms. Instead, Gartner uses the below two features to rank these tools in the Magic Quadrant:

  • Integrated support for enterprise reporting capabilities
  • Augmented analytics

 

Without any further ado, here is the Magic Quadrant for 2020 for Analytics and Business Intelligence tools:

Curious where these analytics tools ranked in last year’s Magic Quadrant? Let’s check it out:

You can view the full report for this year on Gartner’s site here. They have listed the strengths and cautions for each platform in each quadrant in detail.

 

Analytics Vidhya’s Take on the Magic Quadrant

  • Tableau, Qlik, Microsoft (Power BI), and ThoughtSpot retain their place in the Magic Quadrant’s ‘Leaders’ section – this is in line with our expectations. All of these tools have been immensely popular in the Business Intelligence industry and we have seen more and more Organizations using these tools.
  • Looker has moved from ‘Niche Player’ to ‘Challenger’. Definitely worth keeping an eye on this in 2020 – This was a pleasant surprise for us and we will continue to watch it.
  • Oracle and YellowFin have made the jump from ‘Niche Players’ to ‘Visionaries’
  • Alibaba Cloud is a new entrant this year (under the ‘Challengers’ category). They’ve made huge strides in the last couple of years. Wouldn’t be surprising to see them move upwards next year

Which are your favorite analytics and BI tools? Which moves surprised you? Let us know your thoughts in the comments section below!

And do check out our popular Tableau course and stay relevant in the BI market!

Pranav Dar

18 Feb 2020

Senior Editor at Analytics Vidhya.
Data visualization practitioner who loves reading and delving deeper into the data science and machine learning arts. Always looking for new ways to improve processes using ML and AI.

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