Scale Processes, Not People: How Data Teams Do More With Less By Adopting Software Engineering Best Practices

A high performance data team can be a force-multiplier for any organization. It is no secret that data and analytics teams usually don’t get the amount of resources and support that they desire. So how does one effect the most change with the smallest team and fewest resources possible? The best place to look for inspiration is software engineering. It is our belief that data engineering, science, and analytics is a sub-field of software engineering. As this field matures we should avoid reinventing any wheels and learn from the best practices of software engineering and DevOps. The proliferation of high-quality open source data tools is making this easier than ever.