Why It Works

Today's data management and analytics software marketplace status-quo promotes an overly complex labyrinth of hard-to-learn, hard-to-integrate and hard-to-use SaaS or in-house self-service software systems and processes.  

That status-quo is extremely costly, requires a stable cohort of brilliant but hard-to-recruit and retain data scientists, and has tremendous risk of obsolescence within only 6-12 months. Few organizations can successfully sustain and afford that, and fewer event attempt it. 

And, it isn't even working.

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, often unreliable, and because of that they’re slow-to-use and extremely risky. 

With spreadsheets, you cannot get timely detail reports down into deeper-hierarchy bigger or complex organizations. And, you hope that in the future none of the underlying source data ever changes or that any of the authors depart, making those spreadsheets obsolete.

Our clients asked for a better, faster and more cost-effective solution for the problem of expensive complex software or fragile non-scalable spreadsheets. We delivered full-service Data Analytics and Metrics-as-a-Service (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: it's cost-prohibitive for most. You shouldn't pay for software, features, functionality, training, learning curves, complexity and overhead that you don’t need, or rarely use. Our solutions are tailored to each client partner's unique data management and analytics requirements.

The Age of Analytics has a permanent data analyst talent shortage: Metrics Engine fills that gap. There are hundreds of thousands of open never-to-be-filled data scientist and analytics jobs today, and fewer students deciding to major in, or even study the subjects. 

Recruiting, training and retaining a skilled analytics team is very difficult, and next to impossible if you’re not a big-budget Top 500 company. 

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

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.

There are thousands of stellar teams of brilliant data scientists and analysts across the market 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 such as 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  

3.  Deliver and distribute the results: accurate, fast and cost-effective.  

How? Multi-billions of transactions, billions of calculated metrics, millions of performance reports/dashboards, a vast library of pre-defined "create your own playlist (or scorecard)" metric algorithms, Augmented/Artificial Intelligence, millions invested in the Engine, and 35 years of data analytics experience.  

With that client-service foundation, we've learned to become experts in our craft.