There are big changes coming to the analytics world, and businesses looking to stay ahead of the competition need to stand up and take notice. The next wave of disruption is called augmented analytics and it’s a big deal.
Up until now, analytics has largely been a human-driven activity. Humans were always in charge of loading data, performing the analysis, determining which results were relevant and which were not, then disseminating those insights throughout your organization. The computers in this arrangement were merely used as tools to help get the job done faster, especially with a larger dataset. But as datasets evolve into big data, as analysis becomes too complex for humans to comprehend and as the interactions between companies, customers and suppliers get more intertwined, new tools are needed. Enter augmented analytics, the marrying of human and machine’s intelligence.
Augmented Analytics uses the latest artificial intelligence (AI) and machine learning (ML) techniques to transform every aspect of analysis, from how data is collected, how it’s analyzed and ultimately how it’s consumed, shared and distributed. More importantly, over time, the machines can use what they’ve learned to take analytics to the next level, making predictions and taking actions on those predictions. With augmented analytics, the machines can evolve from being mere tools to actively creating their own charts and insights, alerting humans only to the trends and anomalies that matter, ignoring all those that don’t.
Qrvey has already begun taking the first steps towards our augmented analytic future. The Qrvey platform uses AI and ML as part of our “all data analyzed” tenet. We already use AI to analyze text, files, images and video to identify people, objects, even determine sentiment. We are also adding the beginning stages of predictive analytics as well as mechanisms for building and training your ML tools and apply them directly to your data.
As Augmented Analytics becomes more powerful and robust, it is also becoming more mainstream and easier to use, following in step with another key Qrvey tenet, “self service” analytics for everyone. Augmented Analytics helps democratize analysis, bringing the power and ease of use out of the hands of just a few data scientists and into the hands of everyone in your organization.
