The best way to spread data-driven thinking through an organization is by proving that you can use data to solve a real business problem.
Archive for the ‘Experimental Enterprise’ Category
Being data-driven is the best way to manage uncertainty—but achieving that is about far more than bringing a bunch of numbers to your latest meeting.
Business leaders cannot afford to ignore their organization’s data—rather, that data should be used to make informed decisions. In this post, Principal Data Scientist Tom Fawcett and Professor of Data Science Foster Provost discuss how businesses can make the most of their analytical teams. Tom and Foster are the authors of Data Science for Business. What aspect […]
Making truly data-driven decisions can be a daunting task. Learn the first steps businesses can take, and why the effort is worthwhile.
By far the most difficult thing in being data-driven is getting the right data in the first place.
The ability to generate future potential through operating your current business is the ultimate definition of what it means to be data-driven: when value, and not solely decision-making, is being driven by data.
You can’t avoid failure, but you can learn to cope and make the most of it.
In a previous post on data maturity, we discussed a company that was just embarking on a transformation: launching a new services business and building data capabilities to support that business. But what if you’re not starting from the beginning?