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The What, Why and How of Analytics Testing
The document discusses the importance of web analytics and the integration of IoT and big data in creating new value propositions. It highlights the challenges of managing large volumes of data from various sources and emphasizes the need for effective testing solutions like WAAT (Web Analytics Automation Testing). Additionally, it covers the testing opportunities in validating data collection, analysis, and reporting to optimize business value.
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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
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- 5. WHY DO WENEED ANALYTICS?
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- 9. Is that allto Analytics?
- 10. The new “kids”in town IoT & Big Data teenagers
- 11. Some popular usecases https://www.kaaproject.org/iot-use-cases/
- 12. IOT – INTERNETOF THINGS Opportunity to ¨ Create new value propositions ¨ Be Innovative & Creative
- 13. IOT – HOWTO 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 – BIGGERCHALLENGES ¨ 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 allthis 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 needto think complex!!
- 21. VIU ¨ Unique installs(Android) - > 1.75M ¨ Unique # of devices (Android) - > 13K
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- 29. TESTING AT THEREPORT LEVEL Pros ¨ Ensure report is setup correctly Cons ¨Licensing ¨Reports not yet setup ¨Validate all requests are sent / captured
- 30. Biggest Problem It isTOO LATE!
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- 42. WAAT - WebAnalytics Automation Testing
- 43. WHAT DOES WAATDO 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)
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- 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