As marketers seek greater accountability in today’s increasingly omnichannel shopper landscape, demand for outcome-based ROI measurement has become more important than ever across the media, retail and FMCG industries.
New urban immigrant car owners and future car owners are a group of highly-educated young consumers with an average car purchase budget of 187,000 yuan. New urban immigrants focus more on cost-performance ratio and prefer online channels for car purchase and maintenance.
Unconstrained by physical walls, e-commerce retailers offer a huge inventory of products in endless aisles. Unfortunately, our physical world product coding processes can’t scale to e-commerce: they’re too costly and too slow.
In the coming decades, machine learning will transform work as we know it. And unlike previous revolutions, which primarily affected blue-collar workers, the smart machine revolution has white-collar workers in its sights.
As the world collaborates on the United Nation’s 2030 Agenda for Sustainable Development, good data are critical to the world’s ability to set goals, generate plans and measure our collective progress.
In about four months, we’ll have officially made it to "the future"—at least according to the time-stamp on Doc Brown's DeLorean in the "Back to the Future" movie series. So now that we’re there, what will 2020 look like?
All established companies must address a key challenge: How to find the next disruptive innovation while reacting to the disruptive innovations of others. To use the language of this year's TIBCO conference, how can one “ride the disruption wave”? Mitch Barns explores three things he's found that can play a big role.