doubleIQ is a data engineering company. We have delivered solutions to some of the most complex problems.

We are able to understand your environment quickly using our guiding principles for what is important.

The principles that guide our work

Consumption is where value is created.

Understanding the purpose and skills of the consumer is the foundation of our design approach.

The real world is messy

Our goal is to create a consistent and complete view to help identify the signals in the data. This is critical to the successful deployment of AI.

The data doesn’t lie

There is no substitute for understanding the source data and its lineage to consumption

Data is an asset.

It needs continual maintenance, refinement and monitoring to retain its relevance. This needs to be baked into the architecture and dev ops design.

Patterns are key to making sense of the complexity

Data engineering patterns have distinct characteristics in their own right that drive productivity and manageability.

Technology choices are secondary to the data.

The complexity, scale and consumers of the data drive the technology choices. In many cases, it doesn’t matter.