Business Intelligence at Everbridge: Analyzing Confirmation Data
Business Intelligence has rapidly emerged as a valuable tool for distilling and generating insight from the massive amounts of information collected by today’s businesses. While organizations may differ greatly across a wide spectrum of industries, products, and services, the majority share a common objective when it comes to leveraging this data: driving customer value. Everbridge is deeply invested in the success of our customers, and our goal is to share the insights and best practices we have discovered via BI tools and methodologies to help our customers realize the full value of our communication platform.
As Everbridge’s newest BI analyst, I’ve spent years working with operational data at both large and small companies. In my experience, the best analytical outcomes are not the result of overly complex or exotic statistical analyses. Rather, they are the product of well communicated, actionable insights that are acted upon by the organization.
This knowledge is the driving force behind my approach to business intelligence at Everbridge – and I hope to leverage it by sharing the results of my first white paper Managing Critical Communications Effectiveness: An Analysis of Private Sector Broadcast Confirmation Data.
While you can download the full report, and I will elaborate on the data in a future post, I thought it would be helpful to highlight some of the key findings. As background, it’s helpful to note that achieving high confirmation rates is so critical because it ensures that your critical communications are actually reaching the necessary contacts through the fastest and most efficient means possible.
So what did we find? The data determined that there are three main factors that are critical to improving confirmation rates, and as a byproduct, improving overall crisis management and communication:
• Optimize for efficient, early emergency notification delivery (90% of confirmations occur within the first 3 contact attempts, so use efficient, text-based paths early in the delivery cycle as these paths have a 4X greater confirmation than voice)
• Use multiple contact paths when broadcasting messages (Multipath broadcasts have a 79% higher confirmation rate than a single path)
• Allow recipients to set and prioritize their contact preferences (Broadcasts with contact preferences enabled are 44% higher than default setting broadcasts)
We’ll dive in deeper next time, but for now, I encourage you to read the full report and let us know your thoughts.