The proof is in the metric

A famous quote from Peter Drucker, a well-known author and business consultant reads: "If you can't measure it, you can't improve it". This is certainly the case for cloud financial management. The difficulty gets compounded by the fact that cloud runs a usage-based business model, which is different than your own in most cases. Heck, they even run different cost structures for individual services within the cloud itself. Because of this complexity, your engineering organization has to be empowered to make their own decisions at the edge to make full use of the cloud agility. With every decision that's made at the edge adds an extra layer of complexity and obscurity to finance teams.

The importance of data

How can you now make sense of all this complexity? You need metrics. But before that, you need clean data that drives the metrics. Optimaze solves for both sides of this problem equation at launch. Where traditionally your cost attribution is stale and inflexible, Optimaze cleans and enriches your data with AI and machine learning smarts, all in real-time. As a customer remain in full control, because we all know every business is unique. We then turn this new, clean, foundational data set into measurable units. For the first time your organisation can start to benchmark both internal performance, and compare against Optimaze's aggregate industry benchmarks, in real-time.

Timely data means timely action

The real-time aspect is important. Because of the previously mentioned freedom development teams enjoy in the cloud, it means cloud environments are constantly in motion. Centralized FinOps teams generally struggles to make a lasting impact, because by the time they deliver their findings, the engineering teams are already onto the next thing. Optimaze delivers real-time metrics for your enterprise with relevant benchmarks both at ground level for decentralized action, and at leadership level, so you can make better business decisions and set KPI's.

Developing a culture of efficiency

Teams are able to self-check how they are going against their KPI's, making it part of the development prioritization process. They will also be able to compare how they go against other similar teams in the business, and against industry standards. In the end, in most cases engineers know exactly where the wastage is occurring and/or how to remediate it. However without metrics to benchmark it, it won't get prioritized. Some healthy competition will drive focus and a culture of efficiency.