Data Without Direction
How can you tell which data is useful and which is not?
How can you tell which data is useful and which is not?
Creating a data-driven culture depends on cultivating a mindset of experimentation, having the right infrastructure in place and developing the skills to interpret the signal from the data, while ignoring the noise in it.
Here’s how you can take your organization’s open data program to the next level.
Getting feedback directly from your customers through a focus group could be highly beneficial to the success of your project.
Instead of focusing on project replication – focus on process replication and adaptation.
Technology is constantly changing as new tools are developed and old tools are modified or repurposed, and these commercial innovations are having a growing impact on how we govern.
The central idea of data analytics is taking datasets or groups of information and analyzing them in a meaningful way to determine something useful in government.
For better or worse, intuition comes into play in many business decisions. What is yours saying about Amazon’s next headquarters, and are you prepared to put money on it?
Setting the goal of having coffee with 50 people forces you to be clear about your goals.
In the uphill struggle for more data-driven governance, the insider’s best resource might just be experience, expertise and methods that have been developed outside of government.