Presenting the MMA Study on How Marketers Use Location Data

Last week, I had the pleasure of sharing research findings from the Mobile Marketing Association’s ‘How Marketers Use Location Data’ study, alongside their Head of Industry Research, Vassilis Bakopoulos. This MMA webinar highlighted the methodology, core findings, and the future uses of location data for agencies and marketers in the Auto, CPG, Financial, QSR, Retail, Tech and Travel verticals.

Fun at Factual

At Factual, one way we foster and build relationships within our teams is through our monthly company events, where employees at each office have the opportunity to enjoy different activities in their city and spend time with their office mates. We’re proud to say that these events have helped us build a close-knit Factual community.

During these company events, we make a point to visit unique places in our local community that our team may not necessarily visit on their own. For example, our headquarters is located in Los Angeles, so our LA-based employees have enjoyed trips to the Wizarding World of Harry Potter, Greystone Mansion, and The Broad Museum.

In addition to discovering our local city gems, we value the time we get to spend together during these activities. The events allow for great team bonding across the organization and across teams. Many of our events inspire the teams to get together outside of work by trying new adventurous restaurants, biking or hiking during the weekend, or even enjoying a vacation with a colleague and friend. Our many Slack channels reflect all of the unique interests within our culture and some of them were even created after discovering shared interests at one of our events.

Our monthly company events are open to any and all employees and are a fun activity that our employees genuinely look forward to. Here are a few past events that we have hosted in the last couple of years:

Data Pipeline Performance

If data scientists had their way, we would buy petabytes of memory and never think about IO performance or serialization ever again. Such is the influence of accountants, however, that few companies have realized this otherwise brilliant strategy; instead, whether the workflow is written in Hadoop or in bash, it usually amounts to “stream data in, process a little bit, stream data out.” And this means that performance isn’t purely a matter of profiling code; it’s going to depend on stuff we don’t control like gzip and grep.