Assigning code homeowners, hiring analytics engineers, and creating flywheels

As an analytics engineer, one of the difficult issues I face is bridging the hole between engineering and analytics. Engineering and analytics are sometimes siloed into their very own groups, making cross-collaboration fairly tough.

Engineering pushes software program and information adjustments that analytics is aware of nothing about. Analytics is then pressured to pivot its work to accommodate these adjustments. Or worse, analytics should counsel a change that engineering must then battle into their tight schedule.

If the hole between the groups turns into too vast, it provides plenty of time, wrestle, and information high quality points to the already piling quantity of labor. That is why it’s crucial to implement greatest practices for speaking with each other from the second this concern is noticed.

On this article, I’ll talk about a number of the commonest issues I’ve confronted and the most effective practices you possibly can apply to resolve them.

Typically there’s a lack of possession of logic constructed out in code, particularly between analytics and engineering. Who owns the code that generates…