Ideas

Heather Armstrong did an internship at Plot + Scatter in fall 2016. Here she describes the capstone project she completed as part of a course she did at the Vancouver Institute of Visual Analytics. Heather offers valuable insight into some of the design decisions and challenges she faced when building her project.

In our last post, we talked about tearing down data silos through collaboration. In this post, we look at what Lean and Agile UX methodologies can teach us about sprinting through our data projects. As we mentioned in the first article of this series, the three most common mistakes we see people making with their data projects are:

In our last post we talked about GOOBing (Getting out of the building) with your data. In this post, we explore what Lean and Agile UX methodologies can teach us about working together. One of the biggest challenges people face when trying to execute data projects is navigating departmental, organizational and team silos. This problem is more common than we think, and spans organizations and industries.

At Plot + Scatter, we’ve seen our clients make the same three mistakes across all industries — big and small, corporate and non-profit. These errors cost time and money. In some cases, they lead to the realization that the entire project needs to be re-imagined. Not ideal. These common mistakes are: