We partnered with DataBlade (DB) this year to build out a serverless data science solution for one of our clients’ main business needs, revenue forecasting. In this post I will discuss our architecture for the final product and how we overcame some implementation obstacles.
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Scenario — You’re an up-and-coming ecommerce/SaaS startup. You’ve got your site up, you’ve A/B tested your message, and you’ve got your SEO and social ad buy. You’ve got your email drip campaign and reminders. You also have basic BI reporting telling you channel traffic and conversions. Traffic is decent, and revenue is growing. It’s likely that you are in the initial growth phase, you’re flying on skates and business is booming. You think you’ve found your voice; you’re expanding; you’re reinvesting for more growth; you’re going big on marketing… things seem to be going great for a while.