How we help
Analytics & data science
Information that supports decisions, with its context and limits.
A specific need
We organize sources and questions to turn scattered data into useful information. We design analysis and visualizations; when the problem and data allow, we explore models to support specific decisions.
What stays in your hands
- Data source and quality review
- Questions and indicator definitions
- Analysis and visualizations
- Documented assumptions and limits
How we work
We review source quality, permissions, and consistency.
We build and validate an interpretation the team can use.
In context
The work tells the story.
Before we start.
What if our data is disorganized?+
We begin by understanding it and preparing a dependable foundation. We do not build a model on information we cannot assess.
Does this include predictive models?+
We consider them when the data and need justify them. We do not promise accuracy or outcomes before validation.
What belongs on a dashboard?+
The questions your team needs to answer, with clear definitions for each indicator and its data refresh.
