Data based product development

Flexibility in your data preparation

Most businesses view data prep and analysis as separate universes, we find that the greater need is to move fluidly between prep and analysis. To explore different directions that weren’t obvious when you began your analysis, you need a lightweight and flexible way to prep your data for analysis.

360 view of the customer

While a fully connected view of the customer may still be more ambition than reality, quickly writing a query that brings together customer data and user data can give you insights that neither data source can give you alone.

The data you have is flawed

The data you have is likely insufficient, but you’ll only build on it through a willingness to do a fair amount of clean-up and validation before you start. You’ll inevitably find that events aren’t tagged right or the data model doesn’t include a new release. Product data is dynamic.

Quickly switch back and forth in early analysis — but do so with a plan to evolve

Initially, you’ll be going from iterative analysis to rapid visualization to prototype and you’ll want to make sure you’re going in the right direction. Ultimately, you want to update your current BI tooling or create data apps for long-term operations in a way that answers the majority of (or most common) questions from stakeholders and other end users. The learnings may need to carry over to related models like marketing lead scoring or customer success health scores. Think of this as the transition from investigating to monitoring.

Product decisions the right way with iterations

At every step, you’ll need to be able to check and see if you’re headed in the right direction, which makes product development and iteration easier. Using advanced data and analytics tools let teams move through a volume of decisions with more information, pointing product development on the right path.