Explore the challenges and solutions of making big data useful in this 38-minute conference talk from GOTO Copenhagen 2015. Dive into King's journey of evolving their data analytics infrastructure to handle massive amounts of player data from popular games. Learn about the daily pipeline, tracking measures, and the progression of reporting architectures. Discover tools like QV Helper, Master Portal, and Usage Insight that help manage complex data environments. Gain insights on governing user interactions with big data and strategies for delivering the right information to stakeholders. Perfect for data professionals and business users looking to optimize their big data processes and extract meaningful insights.
Overview
Syllabus
Introduction
Anna Bongenhielm Producer Data Analytics @ King
We make great games
The evolution of King
Presentation overview
The Daily Pipeline
Fast changing times
Tracking measures what players do
Our fancy data pipeline!
Brief Reporting History
In the beginning
The problems we face with size
Our QMC
Dealing with Data Size in the Reporting Layer
Original architecture
Occasional architecture
Architecture with a logic layer
Architecture with a cohort layer
User experience
Governing the User End of a Big Data Environment
Our Framework: What issues does it address?
How do we do this?
Tools - QV Helper
Tools - Master Portal
Tools - Usage Insight
Getting the Stakeholders the Right Thing
Questions?
Taught by
GOTO Conferences
