Fragmented data science and analytics teams result in duplicate work, poor collaboration, a lack of governance, insufficient adoption at scale, and significant key-man risk. Kenneth Sanford explains how to overcome these challenges and build a centralized analytics practice that empowers data-driven decision making. Ken shares insights about maintaining individual and group productivity as teams grow, skill sets diversify, and internal organizations become more complex, covering the criteria required to build a data culture, pitfalls to avoid on the path to data team scalability, and real-life use cases on successful deployment of data projects at scale. After all, it’s only the beginning of the data-driven era; whether today or tomorrow, all organizations will eventually have to rethink what productivity means in light of rapid growth.
This session is sponsored by Dataiku.
Kenneth Sanford is an analytics architect at Dataiku. Ken holds a PhD and can scope work, write code, and explain it on a napkin.
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