As Principal Product Designer at GE Digital, I have conceived and designed several enterprise software experiences, including SaaS and platform applications for analytics and big data.
Predix is GE’s Industrial Internet Platform, and I have worked on the platform since its infancy in 2013. Early on, there was much software industry discussion about IOT (Internet of Things), but GE, with it’s domain experience in the industrial world, saw IIOT (Industrial Internet of Things) as competitive territory to own.
After interviewing more than a dozen Data Scientists and Data Engineers, it became apparent that data exploration and data cleansing is a critical part of the data science process, and takes the majority of the time and effort to complete the task of tuning an analytic model. I conceived of a product called Data Explorer that provides data visualization tools that let users evaluate data before and after analytic processing.
With a searchable and sortable catalog of data and analytics, users can sequence together analytic techniques and business logic in a tool called the Orchestration Editor. Developers visually connect and configure analytics, then hook it all up to big data streams and dashboards.
Collaborative design sessions
I held many collaborative design sessions with subject matter experts and stakeholders, sketching and visualizing task flows with task flow diagrams and post-it notes. Involving others in the design process is a simple way to give UX ownership to everyone.
The UX flow takes shape with simple sketches, storyboards, and user task flows.
User task flows