Qlik has gone through a massive transformation, Potter said. The company went private, rearchitected Qlik Sense into an enterprise SaaS product (using microservices, Docker and Kubernetes), made some significant acquisitions including Attunity (data streaming) and Crunch Data (conversational analytics), and partnered with DataRobot (automated machine-learning modelling).
These acquisitions and strategic partnerships have helped the company provide tools that deliver the right data to the right places in order to meet analysts' needs.
"Our users are getting smarter every day," he said, so Qlik has moved "beyond the dashboard" to fully-integrated analytics "from source to insight."
At the same time, proactive analytics applies machine learning to understanding patterns and trends in data, bringing them to the user's attention.
Apart from the operational benefits to Qlik, the change in architecture means developers can now interact with individual components of the system, opening "a whole new area of opportunity around embedded analytics," said Potter.
For example, Qlik's analytics engine is running in a drone that can survey an accident scene and report the situation to a paramedic control centre.
Analytics at the edge is "bringing IoT to the next level," he said.
The embedded analytics aspect is being increasingly used by Qlik's partners to deliver solutions that empower end users, he said, pointing to the emergence of a "positive data culture" where corporate data is not the preserve of senior management but instead is also made available to more junior and often younger employees who are probably more data literate.