PyData Los Angeles 2018 - Presentation: Data Mining JIRA Tickets to Gain Insights into Organizational Behavior

Data Mining JIRA Tickets to Gain Insights into Organizational Behavior

Audience level:

Intermediate

Description

My team at Hulu makes a tool called Glyph that is used internally to create realtime reports to monitor app health and feature usage. While existing telemetry tells us the who and when of Glyph usage, it does not tell us why it is used. To gain insights into how Glyph is used by product and tech, I built a flask app to mine JIRA data for references to Glyph reports using the Python jira library.

Abstract

Detailed outline:

Introduction to Wendy (1 min)
Description of our operational intelligence tool Glyph (1 min)
Brief introduction to JIRA (1 min)
Say why I want to track who uses Glyph and why I turned to JIRA (6 min)
Libraries used to build my app a. flask (2 min) b. jira (6 min) c. pygal (3 min)
Lessons learned (3 min)
Next steps (3 min)
Questions (~4 min)

Who should attend this talk?

Anyone who is interested in data mining their JIRA tickets with Python
Data analysts who want to build a simple flask app that displays meta usage data in tabular or plot format
Data analysts who want to ask “Why?” instead of just “Who?” and “When?”

Monday 10:15 AM–11:00 AM in The Forum, 4th Floor / NLP

Data Mining JIRA Tickets to Gain Insights into Organizational Behavior

Wendy Grus

Description

Abstract

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