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DAL co-op student Khalil Francis shares what it’s like to work at Outshine. From key learnings, some favourite memories, and advice for future students, you’ll get the full scoop here.
Lay the proper foundation for data architecture in your organization by understanding the most common misconceptions of data warehousing projects.
If diversity and inclusion are important to you, as they are to us, you need to put proactive measures in place to check bias at the door. Here's how we're building a better Outshine.
Being the curious folks that we are, our team has enjoyed a tremendous amount of content this year. And as our friends & clients start to disperse for the holidays, we wanted to share with them some of the articles, videos, or podcasts that we particularly enjoyed throughout 2017.
When it comes to data science & machine learning, the pace of development means it is getting harder to separate signal from noise. Here are 10 resources to keep you up to speed on the latest and greatest.
With the launch of new features in Facebook’s Analytics Beta yesterday, we excitedly dug through some of the changes available for our clients. Here are our first impressions.
In our work with enterprise, B2B, and SaaS clients, we've routinely found Google Analytics to be a strategic and impactful bridge between a variety of marketing data types. Here’s how GA saves time and money as a marketing hub.
Before you sign off on that shiny new piece of marketing technology, be critical about the implications it has on the bigger picture. Here's how.
President and Founder Andrew Breen talks with Contact Marketing Radio about Outshine’s transition from Outshine Online to Outshine.com, and what this means for the future of the company.
Reddit is the 4th most popular site in the US. Its impact on internet culture (and user behavior) can’t be denied. A key part of the site’s appeal is the comment section—a tool used to filter the good from the bad. What does this mean for advertising?