M+E Daily

The data analytics marketplace sometimes looks a lot like an obstacle course. That’s because, with so many vendors claiming to have the correct tool to solve almost any issue, it can become very confusing very quickly, according to MicroStrategy.

“Navigating data these days requires that we, I believe, take a modern approach to enterprise analytics that incorporates four key interlocking business transformations,” Loc Nguyen, VP of sales engineering at MicroStrategy said May 19 at the Hollywood Innovation and Transformation Summit (HITS), during the Data + Analytics breakout session “Navigating Data with the Right Analytics Solutions.”

First, he said, is “building an analytics application mindset, meaning that … if you think about it, you’re not really in the business of actually creating more reports but actually fewer reports and you want to be able to favor advanced data storytelling when you do.”

Second is “extending analytics to 100 percent of your organization,” he told attendees. “Oftentimes, when we think about data analytics, we talk about the data illiterate in an organization and, honestly, it’s like less than 5 percent of the organization at anyplace that you think about it. So how do you extend the analytics to capture 100 percent of the organization? That requires you to think about where your analytics live. Do you ask them to come to you or do you inject the analytics to where they are? And that’s important.”

Where people work within your organization is where “you want to be,” he explained later in the presentation, adding: “You’re not going to reach 100 percent adoption by just forcing them to go somewhere.” Using MicroStrategy HyperIntelligence enables an organization to “inject insightful, bite-size information to whatever context that they happen to be and you can … create these HyperIntelligence cards within 10 minutes time,” he said.

Third, “for enterprise analytics, you have to think about integration composability,” he said, explaining: “Everything that you build from an analytics platform should be thought of as microservices components that allows you to inject that same analytics to where your workflow happens to be in your organization. So that requires us to think about embedding that same analytics component elsewhere. And, when we think about that, it’s like whoa that requires a lot of coding there. It’s like, why?…. Can it be low code? Can it be zero code?”

Fourth is “cross-departmental trust and scale,” he said. “So when you’re thinking about enterprise analytics, your platform has to be able to scale in terms of data volume size. Not just in the tens of thousands but hundreds of millions and billions of rows of information and be able to also scale to support larger user community as well. And when you do present that data should be trusted. How many times do you show up in a room full of people with spreadsheets with revenue and none of that revenue matches up with anybody. And so, when you’re thinking about data, you want to think about data governance because data governance is going to be important [in that it] helps you with adoption because they’ll trust the information more without it. That’s not going to be a lot of adoption.”

He added that the “broader theme is how … you expand in your organization and … get them to adopt that information better.”

To view the entire presentation, click here.

The Hollywood Innovation and Transformation Summit event was produced by MESA in association with the Hollywood IT Society (HITS), Media & Entertainment Data Center Alliance (MEDCA), presented by ICVR and sponsored by Genpact, MicroStrategy, Whip Media, Convergent Risks, Perforce, Richey May Technology Solutions, Signiant, Softtek, Bluescape, Databricks, KeyCode Media, Metal Toad, Shift, Zendesk, EIDR, Fortinet, Arch Platform Technologies and Amazon Studios.