Exclusives

MicroStrategy used its “Elevate Your Embedded Analytics with MicroStrategy’s AI” webinar on Sept. 27 to highlight the latest capabilities of its artificial intelligence.

Panelists discussed how the company is bringing conversational AI to embedded analytics to make data analytics faster, deeper and more accurate.

Meanwhile, attendees learned how they can mitigate dashboard fatigue and improve user satisfaction with real-time data insights that can drive product decisions, taking the guesswork out of product enhancements.

The next generation of data insights with AI can: improve product differentiation by transforming products into intelligent, dynamic and highly personalized solutions; enhance data-driven decision-making, user satisfaction and application retention; and develop analytics applications with confidence and complete flexibility, according to MicroStrategy.

Eric Poulin, GM for MicroStrategy Australia and New Zealand, started the webinar by pointing out that the company’s new MicroStrategy ONE platform combines AI and business intelligence (BI).

He was followed by Nick Biggs, GM of client services at pharmaceutical/business-to-business market intelligence company NostraData, who noted the “flexibility” that his firm requires.

He explained that MicroStrategy’s platform “enables us to deliver dashboards that might be quite sophisticated, at a level for data analysts at pharma companies … but also for pharmacists.”

Biggs discussed how his company, noting that it leveraged MicroStrategy’s embedded analytics to drive value for its customers.

MicroStrategy provides data analytics and data solutions back to the source where it gets the initial data from, which he said include community pharmacists, other pharmacy businesses and patients. “We support patient support programs with sophisticated algorithms prevent medicine misadventure and also identify patients that might be suitable for particular treatments,” he added.

“We have a considerable volume of data that we have to deal with” and that, he said, is why his company decided to partner with MicroStrategy starting in 2012.

“We did do a lot of due diligence around who we wanted to partner with for our business intelligence,” he said, noting that was becoming increasingly important  to customers.

His firm also needed a solution that could handle the volume of data and MicroStrategy “needed a solution that could handle the volume of data and MicroStrategy hasn’t let us down with that,” he said.

Security, meanwhile, was of “really paramount” importance to his company also, he pointed out, adding ingesting data from “multiple different sources“ was crucial also.

He added: “We needed a platform that was going to support large data sets.”

Looking ahead, he said: “We’ve got a lot of plans to deliver…. We’ve got some great plans. And I think when you hear from the MicroStrategy guys about what they’ve got planned, we’re looking to really lean into into what they’re doing with AI and not only make that available to our pharmacy customers, but also our pharma customers as well.”

On Sept. 29, MicroStrategy launched an AI engine that Javier Valladares, presales consultant at MicroStrategy, said allows customers to use natural language as a way to interact with their dashboards.

And, “by improving usability of our solution, we are improving usability of your solutions” also, Valladares said. At launch, MicroStrategy is starting with a limited number of use cases, including ones “directly related with end users and consumers,” he said.

Among the potential use cases for consumers is “where we have a chatbot” and information can be sought using natural language, he said.

For example, “we have this chatbot linked to a dataset in MicroStrategy that has information about the MicroStrategy products, what they can do, how they compare” and more, he added.