Some of the Expert Series posts are extremely nerdy.
Let’s take a step back from the geeky edge for a second and build a baseline. By the end of this article you are going to be EXCITED about the super powers Python provides for RevOps.
The modern Revenue Operations team sits at the nexus of sales, marketing, and customer success, tasked with optimizing the entire customer lifecycle. Even though WE sit at the nexus… our revenue engine data lives everywhere.
While Salesforce is the undisputed king of Customer Relationship Management, its out-of-the-box capabilities, powerful as they are, can sometimes fall short of the complex, data-driven demands of a truly optimized revenue engine. Even if Salesforce was built for multi-object reporting (it isn’t), Salesforce doesn’t natively bidirectionally sync to your ERP, SEP, accounting software and other key components of the revenue engine.
Problems on problems.
This is where the dynamic duo of Python and a notebook environment like Google Colab …