IBM Watson Data Platform
The Watson Data Platform is IBM's first cloud-native data cataloging and analytics product designed to facilitate enterprise-scale data science, machine learning and predictive analytics for the world's largest companies. The platform is the result of IBM’s key initiative to redesign legacy big data tools and combine them in a single cloud platform.
Using human-centered design, our team worked with a legion of product managers and software engineers all around the world to focus on one goal: help data analytics teams work better together.
Identifying the Problem
Today, working with large data is often a siloed experience.
Data professionals work with multiple, non-collaborative tools and publish their findings in multiple locations. In a single large enterprise, you could have two business analysts in different business units needing to find the same data for analysis. Not only is it hard to find, but once they have access and are ready to analyze, they have to pull it into multiple tools that may or may not work together. The potential setting to share data or collaborate with others is lost.
“There is nothing comparable out there which uses a single unified platform for the personalized roles within an organization… business analysts, data engineers, and your data scientists. All these three people who are going to deal with your data.”
Watson Data Platform Sponsor User
Getting To Know Our Users
For our open beta, we worked with our Offering Manager and Development team to create three mutually agreed upon hills to focus on for the upcoming year.
As a member of the CDO office, I can understand the status of my governance policies, rules and enforcement points, how they have been enacted at a high level and how enactment has changed over time so that I can track my team’s progress towards increasing data governance compliance.
Design Lead: Bhavika Shah
Visual Lead: Joshua Kramer
Visual Design: Kacie Eberhart, Amanda Hughes
UX Design: Kacie Eberhart, McKenzie Carlile
Front End Developer: Tom Workman
Research: Frances DiMare, Tina Zeng
Done while employed at IBM.