The traditional analytics maturity curve obscures some big differences between traditional analytics and more advanced use of predictive analytics and machine learning projects. Here’s a framework that helps make your next steps to analytic maturity clearer.
As quite a few companies have found out — data is indeed like oil: when spilled, creates a need for a toxic cleanup!
Tweets from Day 2 of Gartner Data & Analytics London, 2018
Summary of the Gartner Data and Analytics Conference day one – updated over time!
Why it’s critical for everybody to use my definition of key terms like Big Data. Not.
Artificial intelligence is poised to revolutionize most aspects of operational marketing — leaving more time for things like storytelling and community!
Which terms are hot and which are not in the world of analytics?
Analytics isn’t just an opportunity to reduce costs and increase profits — it’s an opportunity to make the world a better place.
Data is a powerful weapon, and requires legal protections. But companies should go further — it’s just good business.
CEOs say they’re in charge of analytics — but what’s the real barrier to more adoption?