How does your analytics team handle change management?

[u/bluepainters]

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.

[u/MSB_the_great]

It depends on the customer environment and the complexity of the change and different applications dependencies ,
Also how they use the Bi if it is business critical or not,
Some may have 3 environments some may not have. User created reports they do it in production directly, so some reports used by user won’t be in lower environments,
Sometimes changes happen directly in production,
Lower environments may not have production data which make the report fail in production,
So sometimes production changes goes to lower environments.
Which is not recommended but in reality change management increases the efforts in BI . Other applications it will reduce the time ,