As our data products become more complex and more operational in nature, the processes around building, maintaining and supporting those products should evolve as well. In recent history, changes around software development methodologies have resulted in faster deployments, more stable products, better communication, automation of repetitive tasks and greater agility in the overall business. How can we learn from these approaches and apply them to Institutional Research? As the proportion of code and therefore maintenance of code increases, what can we learn from industries which are doing this daily and apply it to our own?
Chris Elliott (Dalhousie University)