TechValidate Research on Splunk

Splunk Case Study

Medium Enterprise Retail Company Automates Scheduling, Escalations and Notifications with Splunk On-Call


This case study of a medium enterprise retail company is based on an April 2022 survey of Splunk customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“Splunk On-Call has levelled up our incident management and escalation protocols. We’ve seen improved visibility, quicker and more accurate escalations, and better reporting and ownership of issues.” — IT Director of a Medium Enterprise Retail Company


The surveyed retail company started using Splunk On-Call to address challenges with:

  • Improving Alert Noise
  • Routing alerts / incidents to the appropriate personnel in a timely manner
  • Automating scheduling, escalations and notifications

Use Case

The DevOps Engineering/Application Development, Site Reliability Engineering (SRE), and IT Operations teams have been using Splunk On-Call for more than two years. What they are using Splunk On-Call for today:

  • Rapid incident response
  • Simplifying on-call scheduling


The surveyed company is measuring the following key value drivers and benefits with Splunk On-Call:

  • Alert/Event Reduction %
  • Mean Time to Acknowledge (MTTA)
  • Mean Time to Resolve (MTTR)

When asked how valuable the following Splunk On-Call features have been, the organization reported:

  • Extremely Valuable
    • Scheduling
    • Alert Routing and Annotations
    • Integrations
    • Alert Rules Engine
    • Escalation Policies
  • Very Valuable
    • Incident Dashboard
    • Mobile Interface
    • Timeline
  • Valuable
    • Noise Suppression
    • Reports

The percent range for each measured value category that Splunk On-Call provides for the organization currently include:

  • Alert Noise Reduction Improvement: 21-39%
  • Mean Time to Acknowledge (MTTA) Improvement: 40-59%
  • Mean Time to Repair (MTTR) Improvement: 40-59%
  • Root Cause Analysis (RCA) Improvement: 21-39%
  • Recurring Incidents Improvement: 40-59%
  • IT Cost Reduction Improvement: 0-20%
  • Application Delivery Release Timeline Improvement: 21-39%

About This Data

This data was sourced directly from verified users of Splunk by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.

More Research on Splunk