The Engineering Dashboard (TED) – Quality Intelligence Monitoring

Aggregate and Normalize Data | Proprietary Intelligent Rules | Real-time Dashboard |Track KPIs

Why?

“Do you base your decisions on the metrics you track in your Software Development Lifecycle?”

By tracking metrics, we can better understand how are we doing on our tasks, how long are they taking, how much are they costing, etc. This information can be used to improve our processes and quality. But, do you:

Have a plethora of tools across your SDLC?

Feel manual reporting is a flawed, cumbersome, and a redundant process?

Spend innumerable hours aggregating data from various tools to create insightful reports?

What?

Aggregate, Analyze, Alert – It’s a one-stop unified cognitive dashboard.

Sample Metrics:
  • Mean Time To Recover (MTTR) and Mean Time To Detect (MTTD)
  • Code Coverage and Test Coverage
  • Defect Escape Rate
  • Environment Availability
  • Build Readiness (Smoke) and Release Readiness (Regression)