A US-based EV charging fleet company had a BI reporting product that suddenly mattered more than ever. Due to the rapid growth of the business there were around 60 people involved around the product and a 40-person development team supporting it. Their customers were not small players. Big car manufacturers wanted fleet reporting they could trust, and they wanted it now.
Internally, the BI team was strong on the thing that creates value: turning messy operational data into clear business reports. What they didn’t have was an “engineered product” way to run the reporting platform itself. And when the audience is enterprise customers with strict expectations, “we’ll figure out deployment later” stops being an option.
The reporting stack was becoming a delivery and risk problem.
The BI team could build dashboards and metrics quickly, but they didn’t know how to deploy Superset securely, manage environments, or implement tenant-level access controls in a way that would hold up under scrutiny. Each new customer discussion created pressure: “Can you onboard us next?” “Can you prove separation between organizations?” “How do you manage users and access?” “What happens if there’s an incident?”
The cost wasn’t only technical. Without a repeatable way to ship and operate the environment, every delivery request turned into a mini-project with a lot of uncertainty. That uncertainty is expensive when enterprise stakeholders are waiting, and when inaccurate or leaked reporting is simply not acceptable.
The platform team already had a proven way of working for other software: infrastructure as code, consistent deployment patterns, security defaults, and operational visibility from day one. The goal wasn’t to turn BI into a platform team. It was to give BI the same safe runway the rest of the product organization relied on.
Kinetive’s role was to help frame the work as a productization effort: reduce risk, remove friction, and make BI delivery repeatable. We worked alongside the dev and platform stakeholders to define what “secure and shippable” meant for this reporting environment, then delivered in small, visible steps so progress could be demonstrated early.
We focused on a managed, repeatable environment for a multi-tenant Superset -setup on AWS, using the same “how we ship software here” habits already used elsewhere.
This work didn’t just “set up infrastructure.” It changed what the organization could confidently promise to enterprise customers.
Because the customer demand was high and time-sensitive, the most visible impact was confidence: the organization could say “yes” to reporting requests without creating a new operational gamble each time.
For the BI team, the biggest change was that they didn’t need to become infrastructure experts to deliver. They could keep doing what they do best—building reports—while working within a deployment and access model that was consistent, secure, and easier to operate.
For engineering and platform stakeholders, the change was reduced coordination overhead. When BI runs on the same kind of rails as other services, collaboration gets easier: reviews are clearer, environments are reproducible, and operational expectations are shared.
Once the foundation is in place, teams typically build on it fast:
The main point: now that the platform is manageable, improving it becomes incremental work instead of periodic firefighting.
If your BI or analytics capability is strong but your reporting platform isn’t built to ship and scale safely, you’re not alone. We at Kinetive help teams turn “a useful reporting setup” into “a reliable product” without slowing delivery.