The What, Why and How of Analytics Testing
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Here are slides from my talk on "What, Why and How of Analytics Testing" at Selenium Conference, Berlin 2017. This talk focusses on Analytics related to Browser & Mobile Native apps, with impact on / of IoT (Internet of Things) and Big Data. See my blog for more details - https://essenceoftesting.blogspot.com/2017/10/analytics-forgotten-child.html
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The What, Why and How of Analytics Testing
- 1. THE WHAT, WHY & HOW OF WEB ANALYTICS TESTING Anand Bagmar Software Quality Evangelist
- 4. Analytics Web / Mobile / ...
- 5. WHY DO WE NEED ANALYTICS?
- 9. Is that all to Analytics?
- 10. The new “kids” in town IoT & Big Data teenagers
- 11. Some popular use cases https://www.kaaproject.org/iot-use-cases/
- 12. IOT – INTERNET OF THINGS Opportunity to ¨ Create new value propositions ¨ Be Innovative & Creative
- 13. IOT – HOW TO DELIVER VALUE? ¨ Automate the manual processes ¨ Integrate data capabilities ¨ Collect – integrate from various sources ¨ Repeat collection – automate the collection ¨ Analyze – manual & machine learning ¨ Optimize / Pivot ¨ Repeat
- 14. IOT – CHALLENGES ¨ Federated devices, ¨ Different types of networks ¨ Different communication channels ¨ Physical (hardware) & Virtual (software)
- 15. IOT – BIGGER CHALLENGES ¨ Too many devices ¨ Lots of data
- 16. BIG DATA …. IS GETTING BIGGER ¨ Volumes of data generated ¨ A jet engine generates 1TB of data per flight. ¨ A large refinery generates 1TB of raw data per day. ¨ As cars get smarter, the number of sensors is projected to reach as many as 200 per car. ¨ Sensors of all types will generate immense amounts of data. In fact, analysts estimate that by 2020, 40 percent of all data will come from sensors. ¨ IoT leads to massive volumes of data http://www.cisco.com/web/solutions/trends/iot/docs/iot-data-analytics-white-paper
- 17. What does all this mean for Testing?
- 18. TESTING OPPORTUNITIES ... ¨ Build capabilities (and tools) to validate – ¨ Data collection is working well ¨ From all sources ¨ Analyzing data, capturing patterns and trends ¨ Optimize business value ¨ Create new opportunities and value propositions
- 19. TESTING OPPORTUNITIES ¨ “Testing” of these new integrations & its value propositions ¨ Performance ¨ Reliability ¨ Security ¨ Scale
- 20. You don’t need to think complex!!
- 21. VIU ¨ Unique installs (Android) - > 1.75M ¨ Unique # of devices (Android) - > 13K
- 29. TESTING AT THE REPORT LEVEL Pros ¨ Ensure report is setup correctly Cons ¨Licensing ¨Reports not yet setup ¨Validate all requests are sent / captured
- 30. Biggest Problem It is TOO LATE!
- 31. The Solution
- 37. MANUAL
- 40. BATCHING
- 42. WAAT - Web Analytics Automation Testing
- 43. WHAT DOES WAAT DO FOR ME? q Plugs into existing Test Automation Framework q With minimal changes q Web Analytic tool independent q UI Driver framework independent q Browser independent q Works for Native apps as well mobile-web (Android / iOS)
- 46. RESOURCES ¨ https://github.com/anandbagmar/waat ¨ https://github.com/anandbagmar/waat-ruby ¨ http://essenceoftesting.blogspot.in/search/label/waat ¨ http://www.cisco.com/web/solutions/trends/iot/docs/iot-data-analytics- white-paper ¨ http://www.dezyre.com/article/how-big-data-analysis-helped-increase- walmart-s-sales-turnover/109