The paradigm shift in analytics
Non-technical employees are becoming regular data consumers, and data teams are getting time back to run higher-value experiments. We've compiled a set of stories and data to show how cutting-edge firms are reinventing the way they approach data and keep their products ahead of the curve.
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As enterprise companies' technical offerings increase, they need to be shrewder about analytics. Startups actually have a lot to teach them.
Data for everyone in your company
Everyone's got a tracker now. Machine learning is the next big conquest. But having a machine learning team isn't enough alone. There are ways to set them up for success.
How to do machine learning right
Best practices are a worst practice
There have never been more ways to engage users with new traffic types like video and chatbots. Adept firms won't submit to "best practices."
The biggest challenge and opportunity for analytics right now is the internet of things. Internalizing all of these lessons will be pivotal to succeeding here.
A dilemma for analytics of things