Information Architecture • Cross-platform Experience • Complex Data • Prototyping
Tibco MDM™ Analytics
Data Management Analytics
CATEGORY
Enterprise
DATE
Jan 2016 - Feb 2017
THE CLIENT
Tibco MDM™ Intelligent Data Quality
Intelligently ingest virtually any type of digital data to get a real-time view across an Omni-channel business
PROJECT TYPE
Data Steward Dashboard
ANY data: Social, Streaming, IoT, connected devices and Unstructured big data
Faster time to value. Built-in machine learning engine
Extended real-time access with improved performance (at-least 50% faster than previous versions)
THE SOLUTION
Automate and simplify data matching and linking with an enhanced machine learning engine that replicates human insight
Uncover relationships between data to increase value
Higher data accuracy drives better insights and decision making
The UI can allow the user to configure and set filter criteria and output formats and easy way to download reports
ROLE
Interaction Designer
PARTICIPATORY DESIGN
Worked with the project owners
Investigative workshops
RESEARCH AND REPORTING
User Research
Interviews
Card Sorting
Market and Competitive Analysis
ITERATIVE DESIGN
Multiple Iterations
Rapid prototyping
Testing
Peer reviews
Stakeholder reviews
INFORMATION ARCHITECTURE
Created an interactive dashboard
Production Wireframes
CHALLENGES
Contextual Data on Demand. Ease of Use. Cloud First
Ensure a single version of every customer and product.
Improve data accuracy with intelligent survivorship rules that will understand how data quality can decay over time.
Various analytical data and reports could be generated from the information stored into MDM, but which are the most important.

Server metrics ensure everything runs smoothly


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