This is the final part of our three-part series, Exploring The Intersection Of Design and Advanced Analytics. Earlier articles examined the reasons why advanced analytics projects fail and honed in on one factor in particular, highlighting the need for collaboration between data scientists and designers. In this article we will provide practical advice on how multidisciplinary teams can thrive together throughout a project’s lifecycle.
Unlocking the value of analytics across an organisation requires building an environment where multidisciplinary teams thrive, where design experts collaborate with others to problem solve and see the stark differences between their disciplines as a strength. Our previous articles touched on the benefits this collaboration can bring. In this final installment, we wanted to share a selection of tips in how teams can facilitate this collaboration and bring the best out of design and data colleagues over the course of a project. This advice has been compiled during our experience in working across environments with a mixture of designers, data scientists, engineers and translators.
The rest of the article can be found at QuantumBlack Medium page where I discuss the topic together with my co-authors Dan Feldman, Justin Hevey, Cris Cunha and James Deighton.
This article reflects my personal views and opinions only, which may be different from the companies and employers that I am associated with.