Data Quality.

The Problem

In Situ came to life quickly to address our customers needs for transparencey into the quality of their data so they can accurately and confidently ship campaings and trust the data.

With a quick and agile team we ran a series of design sprints with the core product team and stakeholders to identify where the gaps in the marketplace existed and how to get to market with a product that solved our customers needs.

User Experience

Quick interations and user testing, learning as much as possible about the customer needs quickly and often.

Prototype Example

Building Trust

Marketers and data scientests should have some simple metric that clearly identifies how well their data is performing, the health of the data and the timeliness.

Understanding the Magic

Data quality is at the root of a scaleable business and accurate and up to data customer information is imperative to the success of the brand, process and calculations come together to create a golden record. The one single source of the truth and exposing what the results of the magic are to the marketer provides valualbe insignts into process, cost and timeleness