Getting Ahead of the Game: How a gaming studio gets customer insights from big data
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Getting Ahead of the Game: How a gaming studio gets customer insights from big data Sonia Carlson PRINCIPAL PROGRAM MANAGER Microsoft
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Getting Ahead of the Game: How a gaming studio gets customer insights from big data
- 1. Getting Ahead of the Game How a gaming studio gets customer insights from big data Sonia Carlson PRINCIPAL PROGRAM MANAGER soniacar@microsoft.com
- 2. Understand patterns!! No BI or Data Scientists Rapid turn-around Must be cost-effective
- 6. Gamer Profiling User Satisfaction service MTTR, failure rate, #complaints Usage Trends DAU/MAU, Average Session Length, Play Session Time, Retention Commerce billing, loyalty points, in-app purchases Demographics age, education, occupation, marital status, gender Social Network friends, leaderboards, matchmaking, anti-cheat Actions
- 8. 2277,2013-06-01 02:26:54.3943450,111,164.234.187.32,24.84.225.233,true,8,1,2058 2277,2013-06-01 03:26:23.2240000,111,164.234.187.32,24.84.225.233,true,8,1,2058-2123-2009-2068-2166 2277,2013-06-01 04:22:39.4940000,111,164.234.187.32,24.84.225.233,true,8,1, 2277,2013-06-01 05:43:54.1240000,111,164.234.187.32,24.84.225.233,true,8,1,2058-225545-2309-2068-2166 2277,2013-06-01 06:11:23.9274300,111,164.234.187.32,24.84.225.233,true,8,1,223-2123-2009-4229-9936623 2277,2013-06-01 07:37:01.3962500,111,164.234.187.32,24.84.225.233,true,8,1, 2277,2013-06-01 08:12:03.1109790,111,164.234.187.32,24.84.225.233,true,8,1,234322-2123-2234234-12432-344323 … Log Files Snippet (10s of TBs per day in cloud storage) User Table UserID FirstName LastName State … 2277 Austen Auterberry Oregon 664432 Olivar Selwick Washington 8853 Stacia Grimley California New User Activity Per Week By Region profileid day state duration rank weaponsused interactedwith 1148 6/2/2013Oregon 216 33 1 5 1004 6/2/2013Missouri 22 40 6 2 292 6/1/2013Georgia 201 137 1 5 1059 6/2/2013Oregon 27 104 5 2 675 6/2/2013California 65 164 3 2 1348 6/3/2013Nebraska 21 95 5 2
- 10. What technologies should I use? How can I get them to work together?
- 12. Azure Data Factory Azure Machine Learning HDInsight Orchestrates Usage and Customer Profile Data Data Movement and Processing Predictive Analytics Anti-cheat
- 14. "availability": { "frequency": “Hour", interval": 1 } Hourly 12-1 1-2 2-3 GameUsageActivity: (e.g. Hive):
Editor's Notes
- Other services Collection & HW load balancing anonymous + MS login cross-platform cloud save Configuration A/B testing
- Product Segmentation, [Retail] Log Processing, Product Recommendations Game Log Analytics (usage/trends) Automated Risk Processing (2) Click-stream analysis Cart abandonment analysis 360 degree customer view Purchase decision analysis (2) Fault-detection analysis Course Log Analytics (usage/trends) Product telemetry analysis Data movement Log analytics user and product profiling to drive targeted marketing product operations and health from product telemetry systems