"Augmented Analytics Is the Future of Data and Analytics” Source - Gartner
So what exactly is - "Augmented Analytics " , lets explore :-
Augmented analytics: This technology includes ML-enabled analytics and BI in all phases of the analytics workflow, from data preparation to data modeling and insight generation.
Megavendors and startups alike continue to execute on their augmented analytics roadmaps, but at different paces and with differing degrees of sophistication and innovation.
For example, augmented alerting and anomaly detection are new trends in augmented analytics, with only a few smaller vendors offering these at present.
Although augmented analytics is not yet attracting mainstream buying activity, it remains a transformative differentiator that commands higher prices (see “Augmented Analytics Is the Future of Data and Analytics”). In addition, customers who were early to adopt visual-based discovery now face a proliferation of data and user-created analyses. As they mature their analytics, these customers are anxious to embrace this next wave of disruption.
Further, customers who were late to modernize their traditional BI platforms are asking if they can simply skip ahead to augmented analytics. SOURCE -- GARTNER
So what exactly is - "Augmented Analytics " , lets explore :-
Augmented analytics: This technology includes ML-enabled analytics and BI in all phases of the analytics workflow, from data preparation to data modeling and insight generation.
Megavendors and startups alike continue to execute on their augmented analytics roadmaps, but at different paces and with differing degrees of sophistication and innovation.
For example, augmented alerting and anomaly detection are new trends in augmented analytics, with only a few smaller vendors offering these at present.
Although augmented analytics is not yet attracting mainstream buying activity, it remains a transformative differentiator that commands higher prices (see “Augmented Analytics Is the Future of Data and Analytics”). In addition, customers who were early to adopt visual-based discovery now face a proliferation of data and user-created analyses. As they mature their analytics, these customers are anxious to embrace this next wave of disruption.
Further, customers who were late to modernize their traditional BI platforms are asking if they can simply skip ahead to augmented analytics. SOURCE -- GARTNER
