Case Study
IBM
Analytics tool for Data Scientists
Overview
Watson Data Platform is an integrated set of tools and services designed to assist companies in accelerating their transition to become data-driven organizations.
We collaborated with a talented team of IBM designers, researchers, and engineers to create an experience that empowers data teams to efficiently discover, ingest, catalog, govern, and analyze information.
Process
Domain and user research
Building personas
User flows
Stakeholder alignment playbacks
Wireframe creation
Testing and iteration
Organize resources and collaborate in projects
Cleanse, shape and refine data for analysis
One platform, many tasks
When designing for the Watson Data Platform we focused on crafting an intuitive and user-friendly interface that enhanced the overall user experience and productivity. The outcome was a platform that encouraged better collaboration, improved data visualization, accessibility for users with varying technical skills, and integrated security and compliance features.
Outcome
Shop for information in a metadata catalog
Develop streams and pipelines for moving big data
We wanted to gain a more holistic view of our clients’ campaign data, and design tailored approaches for each ad and marketing tactic. Watson Data Platform is helping us do just that by quickly connecting important marketing data.
Michael Kaushansky | Chief Data Officer at Havas