THE CHALLENGE
The Azure Data Factory Space was challenging due to
broad Customer bases and known ETL Friction Points:
many platforms and methods to run ETL workloads
No ETL Sanitizing or global geo-redundant storage
No Automation (authored, tested and run manually)
No Data Verification or Enterprise security / encryption
No Standard User Interface for configuring pipelines
THE SOLUTION
A Unified, Integrated platform for automated workloads that “lifts and shifts” customers into the cloud:
Standard Scripting Language to automate scenarios
Visual Authoring Tool (Pipeline Builder) to configure DB operations remotely, across any platform, globally
Built Roadmap for isometric Cloud Scenario Builder
Built Unified Migration tools for common ETL/prep tasks
THE RESULTS
40% increase in downloads of ADF’s enhanced
Visual ETL toolset in only 3 months’ time!
50% increase in Paid Azure ETL Subscriptions
250k DLs of Visual Authoring (Pipeline Builder)
100k DLs for VPA / ADF Mobile (iOS/Android)
Executive Sponsorship for Scenario Builder prototype
40% Overall usage increase for Data Factory on Azure
UX RESEARCH PROCESS
The Existing Data Factory Toolset had legacy and usability challenges to surmount, as an outgrowth of the on-premise database management landscape.
Considering our competition and then contrasting it with Microsoft’s approach helped me to:
Conduct User Interviews to capture unknown UX issues
Leverage IoT device metadata and telemetry for analytics
Use App Instrumentation for user insight
Data Science tools can mine data for usage patterns
Automation can drive predictive systems
Run Usability Studies to find and solve user friction points
Launch award-winning cross-platform cloud data experiences
