Gartner recently published the results of its 2020 Magic Quadrant Business Intelligence & Analytics. The analyst now defines a modern analytics & BI platform with easy-to-use functionality across the entire analytical process - from data preparation to visual navigation and insights generation - with an emphasis on the self-service and the augmented parts.
Askr.ai provides an overview of the strategic trends identified by the Gartner Magic Quadrant for Business Intelligence & Analytics 2020, and some food for thought!
1 / Cloud integration and seamless data visualisation have become the new norm.
3 / Trend confirmed: increased analytics boosting data platforms
1/ CLOUD INTEGRATION AND SEAMLESS DATAVIZ HAVE BECOME THE NEW NORM.
What are the differences with last year regarding the key criteria for ranking platforms?
Good dataviz capability has become a standard.
Companies expect support in the setup of appropriate business reporting.
Augmented analytics are real areas of differentiation and therefore key investments for software editors, whether for Machine Learning, intelligent data preparation or the generation of insights and their explanation.
Criteria that have been widely redefined with the rise of augmented analytics
When comparing the 2019 and 2020 criteria, security has been brought to the forefront: with the advent of cloud-based solutions, companies are increasingly demanding in regards of the security of the processed data.
2 / INTEGRATION INTO EXISTING ENVIRONMENTS BECOMES ESSENTIAL
Looker
With the rise of modern BI, companies need integrated platforms that eliminate the need for multiple tools and allow for highly customised reporting. Looker, which reached the challenger category in this ranking for the first time, has launched a developer portal and now works with Slack. While the latter integration is not the only one on the market (this data-assistant is also available on Slack), it clearly marks the progression of the need for natural language support. In addition, its acquisition by Google increases both its visibility on the market, while raising questions about its future integration with the Google product suite.
Salesforce with Einstein Analytics
The major surprise of 2019 remains the acquisition of Tableau by Salesforce. It already had, with its product: Einstein Analytics, a significant competitive edge over other platforms in terms of integrated implementation in business applications. To compensate for the fact that this tool was often only coupled with Salesforce, the acquisition of Tableau is a major feat for which we are still waiting for the exact consequences on the market.
2018 Gartner Magic quadrant for Business Intelligence and Analytics. (IMAGE REMOVED )
2019 Gartner Magic quadrant for Business Intelligence and Analytics. (IMAGE REMOVED )
2020 Gartner Magic quadrant for Business Intelligence and Analytics. (IMAGE REMOVED )
3 / AUGMENTED ANALYTICS: RECOMMENDATION, SIMULATION, NATURAL LANGUAGE QUERIES
Gartner refers to augmented analytics as a metric for monitoring progress. All platforms that have maintained a clear line of development on this base have ranked higher in Gartner 2020 compared to Gartner 2019 and 2018. One example of this is Oracle, which for the first time has been positioned in the visionary category for this reason. We find, mixed together, functions of Smart discovery, Smart reporting, NLP search, AI-guided simulations... Or automatic recommendation, a feature highly appreciated by respondents (SAS or askR.ai).
The concept of augmented analytics allows Tableau to remain in the Leaders group this year, with the release of Ask Data ( cf : We tested ASK DATA) and Explain data. The use of NLP among several players reduces the competitive edge that it offered to Thoughspot, which remains a leader but is still under pressure.
If NLP was the big trend announced for 2020, it was only the sign of a much deeper transformation of Business Intelligence towards augmented analytics.
Augmented analytics is a positive evolution of BI. The askR.ai data-assistant offers an intuitive, simple and efficient way to access data thanks to NLP!
