How does your analytics team handle change management?
Analytics teams — what is your change management process like?
Background: I’m a service designer facilitating a change management redesign for a healthcare analytics department (mix of Tableau, Databricks, Business Objects). Our current process averages about 11 days from the time an analyst submits a change request to when it’s live in production. Leadership wants that number down significantly.
I’m trying to benchmark against other organizations to understand what’s realistic. A few questions:
How long does your process take?
Who promotes to production? Is it a separate ops team, the analyst themselves, or automated via CI/CD pipeline? If ops, how many people are on that team relative to the number of analysts they support?
Tooling: Are you using ServiceNow, Jira, Azure DevOps, a homegrown tool, or something else to manage the process?
How much of it is automated vs. manual?
Do you distinguish between low-risk changes (cosmetic dashboard updates) and high-risk ones (financial reporting, regulatory)?
How many approvals does a change need before it goes to prod?
Especially curious what other analytics orgs look like — especially in healthcare, finance, or other regulated industries where you can’t just yolo to prod.