As is so common in the analytics space, the focus is on technology and capabilities. If you are the CDO or CTO, this may provide a useful roadmap. It is less so if you are a data analyst, operations manager, or student learning how to work with data.
We’ve always been more interested in the human side of data. What do people need? What are the pains and concerns when it comes to using data? That’s why we are hell-bent on making the most human-friendly creative tool for expressing with data.
This is where my “DataLife Hierarchy of Needs” fits in — it highlights the ascending needs for an individual to make use of data. We’ve talked to hundreds of people who are using data in their jobs. Similar themes come up again and again, and this structure helps explain where people get stuck.
