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 not one tool/product that provides a seamless end-to-end experience for data professionals.


Data provenance, gathering and cleaning are areas where professionals feel the most pain. They must find specific data to work with, determine if they can trust it, and then transform and clean it before it is in a workable state.


Data professionals publish may to varying locations or only share with their immediate chain of command; there is no general repository for sharing the hard-earned findings.

“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

Watson Data Platform provides solutions for all users that work with data from storage to governance to analysis.

Data Engineer

Data engineers are problem solvers. Their role is to design, build, and maintain pipelines so that the company’s data can be found, accessed and used.

Chief Data Officer

The Chief data office and officer is an emerging role that ensuring an organization’s data is governed in such a way that it is compliant with industry regulation and accessible to teams across the company to enable analytics.

Data Scientist

Data scientists are investigators. Their role is to leverage big data to create and apply algorithms that surface actionable insights for the company to use.

Business Analyst

Business analysts are cultivators. Though technical abilities vary, they use the data, tools and teams available to them to produce the best actionable business insights for their company.

The Plan

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.

Policy Manager

As a member of the CDO office, I can create and manage the policies and rules associated with my data governance program so that my team has shared documentation.

Governance Dashboard

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.

Business Glossary

As a member of the CDO office, I can create, browse and edit terms in my business glossary so that my team has one central repository for terminology.


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.