Our Approach
A standardized and centralized “source of truth” is the key to creating and maintaining a data-driven ecosystem.
Our Approach
A standardized and centralized “source of truth” is the key to creating and maintaining a data-driven ecosystem.
Our Philosophy
Successful data-driven teams share two key technical attributes: Full-Stack and Microservices
Full-Stack Mentality
There’s a lot of misinformation on what “fullstack” truly means. It’s less about growing a collection of today’s best-practice technical skills and more about growing a culture of self-sufficient problem-solvers. Catastrophic inefficiencies form when data and data-processes are siloed across different teams.
Microservices Architecture
Data is always evolving. Today’s architecture must be able to solve tomorrow’s problems. Microservices architecture allows for a system to be separated into a number of isolated, flexible processes. Each process is easier to test, understand, and maintain. All processes are not created equal and must adaptable for use in multiple contexts. No re-writing code, no clueless error debugging; teams focus on business functionality instead of writing glue code.
Microservices Architecture
Data is always evolving. Today’s architecture must be able to solve tomorrow’s problems. Microservices architecture allows for a system to be separated into a number of isolated, flexible processes. Each process is easier to test, understand, and maintain. All processes are not created equal and must adaptable for use in multiple contexts. No re-writing code, no clueless error debugging; teams focus on business functionality instead of writing glue code.
Data-Driven Solutions