Flow Engineering is the science of creating, visualizing and optimizing the flow of value from your company to the customers. In the end that is the million-dollar (likely more) challenge of most product companies: How to we create value in the form of product and services and ship those to our customers as quickly, sustainably and frictionless as possible.
Okay, I admit, the title is a little click-batey, but it does hold some truth! I spent the holidays up in the mountains, and if you live in the northern hemisphere like me, you know that means that I spent the holidays either celebrating or cursing the snow. When I was a kid, during this time of year we would always do an art project making snowflakes. We would bust out the scissors, glue, paper, string, and glitter, and go to work.
More than a decade into the Internet of Things (IoT) era, the immense potential of IoT is becoming real. We’re moving from proof of concepts and pilots to projects at scale. What’s become increasingly clear is the vast complexity of deploying IoT solutions at scale and the necessity to do so to become a data-driven business.
Recently there has been a lot of excitement around the idea of a stand-alone metrics layer in the modern data stack. Traditionally, metrics have been defined in the BI or analytics layer where various dashboards are used to look at business metrics like Revenue, Sales Pipeline, numbers of Claims, or User Activity. Given that most organizations end up with multiple BI/Analytics tools, the idea has a lot of merits.