The ROI of Automating Database Deployments

The adoption of Agile, Continuous Delivery and DevOps has skyrocketed as Enterprise IT works to respond to shorter business cycles, get to market faster and reduce operating costs. And their investments are paying off – with one critical exception.

Database teams, relying on mostly manual processes, are struggling to keep up with the flood of requests they receive to create, review, and deploy database changes in support of application delivery. This technology gap creates a constraint in the process, preventing IT from realizing the full value of their technology investments.

This was exactly the case for a shared services group at a Fortune 50 financial institution, which was spending 70% of its time on database change management. In this case study, we’ll show you how Datical:

  • Reduced the Database team’s workload by 80%
  • Cut annual operating expenses by more than $7 million
  • Reduced their SLA for database deployments with QA/Test by 95%
  • Created an automated database deployment pipeline going in the future.