Business Intelligence tools have been in market since years. What has now started differentiating them is:
- Support for Enterprise reporting needs – large datasets, on-prem and cloud, data governance, security, agile dev cycle
- Augmented analytics capabilities – Machine Learning capabilities and AI assisted insights generation and explanation
This Magic Quadrant will help data and analytics leaders complement their existing solutions or move to an entirely new vendor.
Directly from Gartner:
Augmented capabilities are becoming key differentiators for analytics and BI platforms, at a time when cloud ecosystems are also influencing selection decisions
Here’s what Gartner Analysts think in terms of 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% 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.
Here’s presenting the 2020 Magic Quadrant for Analytics and Business Intelligence Platforms.
Microsoft (Power BI), Tableau, Qlik and ThoughtSpot are leaders in this space. How did this look like last year?
How about 2015 vs 2020? Lot has changed since then. The Leaders space was crowded back then.
Here’s the direct link to the full report on Gartner’s site with each vendors strengths and cautions in detail along with 15 Critical Capabilities of an Analytics and BI Platform.
For 13 consecutive years, Gartner has recognized Microsoft as a Magic Quadrant Leader in analytics and business intelligence platforms. When they reference Microsoft, they are referencing to the Power BI platform.
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