Today’s consumers increasingly expect companies and marketers to engage with them in a personalized and meaningful way. Thankfully, today’s consumers provide plenty of data for brands and marketers to get to know them.
According to IBM, people were producing roughly 2.5 quintillion bytes per day in 2017. And if we look at media consumption alone, Americans are spending 30 minutes more with media than they did just two years ago. Thanks to new devices, we’re connected around the clock, and that means we’re continually projecting digital snapshots of everything about us—our likes, preferences, spending habits, entertainment choices, etc.
But with consumers generating so much data, brands and marketers have their work cut out for them. Fortunately, tools like data management platforms, data visualization and artificial intelligence can help businesses avoid feeling inundated and unsure how to put big data to work—no matter how big it gets.
This episode of The Database explores ways that brands can tap into big data, segment audiences with it, visualize it and develop meaningful content and messages with it.
Our guests include Nancy Neumann, SVP, Nielsen Marketing Cloud; Mike Higgins, SVP of Technology, Nielsen Rhiza; Ronjan Sikdar, Team Lead for Nielsen Rhiza; Pete DiMaria, Head of Content Architecture and Discovery, Nielsen Gracenote; and Markus Cremer, Head of Applied Research, Nielsen Gracenote.