Today’s chaotically splintered 'self-service' data analytics software marketplace has over eighty categories and sub-categories, and nearly a thousand software vendors.
Today's data analytics software marketplace status-quo promotes a wildly complex and very costly labyrinth of hard-to-learn, hard-to-integrate and hard-to-use SaaS or in-house self-service software systems for data management and analytics.
That approach costs a pile of money, requires a stable contingent of brilliant but hard-to-recruit and retain data scientists, and has tremendous risk of obsolescence within 6-12 months. Few organizations can successfully sustain that, or even afford it.
The past alternative has been much easier-to-use in-house spreadsheets.
But, for serious and scaling businesses and organizations, these spreadsheets are incredibly fragile, not-always-reliable, and because of that they’re slow-to-use and extremely risky.
With spreadsheets, forget about timely detail reports down into deeper-hierarchy bigger complex organizations. And, hope hard that none of the underlying source data ever changes any time in the future, or that none of the creators leave: instantly obsolete spreadsheets.
Our clients asked for a better, faster and more cost-effective solution than either expensive complex software or fragile un-scalable spreadsheets. We invented Data Analytics and Metrics-as-a-Service (MaaS).
Why Metrics Engine MaaS?
Metrics Engine performs three functions with best-of-breed expertise:
How? Multi-billions of transactions, billions of calculated metrics, millions of performance reports, a vast library of pre-defined "create your own playlist (or scorecard)" metric algorithms, millions invested in the 'Engine’, and 35 years of analytics experience.
With that client-service experience, we've learned how to become experts in our craft.
CEO & Managing Partner • Strategy & Training