Everyone wants to be data driven but wielding data effectively and consistently is difficult. Only a few businesses achieve the level of data-driven sophistication they aspire to. There are a number of hurdles that one encounters along the way to building a successful data-driven fly-wheel.
In this two part series, we will cover what it takes to achieve metrics monitoring maturity. Here we will first cover the building blocks that are prerequisites for success. In the next follow-up blog post, we will briefly describe the 5 stages of analytics monitoring maturity and discuss how you can accelerate your progression.
Fig 1. The journey to achieve monitoring maturity can be long and challenging.
What you need to achieve analytics monitoring maturity
When we look at DevOps (or even MLOps), we see that there is a strong understanding of what excellence in workflows and incident management looks like. However, when it comes to analytics we find that there is poor understanding of what maturity entails. This is partly because engineering is upstream and user-facing, therefore monitoring server and software performance is imperative, while monitoring downstream data and business performance was seen as a nice-to-have. However, we believe that the time has come to apply the same rigor and discipline that exists for monitoring application performance and uptime to monitoring metrics and your overall analytics.
We identify the three following attributes that you need to achieve analytics monitoring maturity:
In our next post we describe how businesses sequentially address these attributes and reach maturity or where many get stuck. We’ll also show you how to leapfrog ahead to maturity without getting mired in the problems that many before you have faced.
Out of the Blue™ is building a solution to address the shortcomings of today’s existing pull-based tools and to empower data-driven professionals to give them what they need when they need it. Stay tuned for more.
