Why It Works

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?

• You need to know your performance analytics and metrics, so you can succeed in your core business. 

• We help you achieve more of your success by performing our core business for you. 

• One size doesn't fit all for data management and analytics. You shouldn't pay for software, features, functionality, complexity and overhead that you don’t always, or will ever, need.  

• Our solutions are tailored to each client partner's unique analytics requirements.

• The Age of Analytics has a permanent data analyst talent shortage: the stable analytics automation of Metrics Engine fills that gap. 

• There are 500,000+ open never-to-be-filled data scientist and analytics jobs today (source: LinkedIn, June 2022), and fewer students deciding to major in, or even study, the subjects. Finding, training and keeping a skilled analytics team is very difficult, and next to impossible if you’re not a big-budget Fortune 100 company. 

• Do-it-Yourself data analytics requires renting expensive software, hiring and retaining a costly team of capable experts, and having the patience to operate in a constant state of adaptation and reinvention. Our clients asked for a better alternative.

• Automation and mechanization of complex tasks and technologies is now the rule not the exception: data management and analytics/metrics included. 

• There are thousands of stellar teams of brilliant data scientists and analysts across the marketplace today, but aside from their workforce shortage, by the numbers any one of those teams won't match the unparalleled breadth and depth of experience of the Metrics Engine network. 

• Big automation like the Metrics Engine is orders of magnitude faster and more accurate (audited and proven by tens of thousands of users daily), and 

• That makes our results more accessible, more relevant and more valuable to you.  

Metrics Engine performs three functions with best-of-breed expertise:

1. Gather, aggregate and transform your data,  
2. Calculate every data-dependent metric and analytic you need, and then  
3. Deliver the results: fast, accurate, cost-effective.  

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.