At a recent DC Data Engineering Meetup, a community group Silectis created and sponsors, we had the pleasure of having Tim Tutt, CEO of Night Shift Development as our guest speaker. Through Tim’s presentation about using data engineering to enable data analytics through the masses, our teams started to notice how complementary our products are. We spoke the same language and knew our fellow data practitioners do, too. We decided to do another event together, this time a co-hosted webinar all about telling a compelling story in a product demo.
Yesterday, Drew Hayes, COO of Night Shift Development, and Demetri Kotsikopoulos, CEO of Silectis explored the topic of generating data for story-driven demos.
Many of us in the data engineering practice are frequently giving demos, whether it’s to a prospective client, a new customer going through onboarding, or even an internal team. It’s a familiar problem to want to produce a relevant story that will resonate with your audience, but not knowing where to start. Generating data that’s actually useful can be quite cumbersome.
Drew and Demetri’s insightful conversation touches on practical tips for understanding how to translate the framework of your demo to meet the needs of your target audience, generating the actual data to be able to tell a compelling story, cleaning up and preparing your mock data, and how to generally prepare for demos as technical data practitioners.
You can watch the recording below, and join the conversation with Silectis and Night Shift Development on LinkedIn.