Spread the Data Science Love

Even if they have the time, data scientists likely have little interest

in learning accounting or financial business processes. It’s a simpler

and more realistic proposition to build data science skills and capa‐

bilities in finance professionals, especially through investment in

low-code technologies that empower users. These individuals can

then become cornerstones of a data analytics culture in the business,

and their knowledge can be spread by encouraging data and analyt‐

ics innovation. Doing this also supports the pure data scientists, who

can offload the simpler requests to business users, while they focus

on the more complex and high-value analytics. In the short term,

organizations could consider how to establish porous boundaries

between business users and data scientists using staff rotations or

even dotted management lines across business and IT.