The What, Why and How of (Web) Analytics Testing (Web, IoT, Big Data)
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Learning Objectives: The most used and heard about buzz words in the Software Industry today are … IoT and Big Data! With IoT, with a creative mindset looking for opportunities and ways to add value, the possibilities are infinite. With each such opportunity, there is a huge volume of data being generated - which if analyzed and used correctly, can feed into creating more opportunities and increased value propositions. There are 2 types of analysis that one needs to think about. 1. How is the end-user interacting with the product? This will give some level of understanding into how to re-position and focus on the true value add features for the product. 2. With the huge volume of data being generated by the end-user interactions, and the data being captured by all devices in the food-chain of the offering, it is important to identify patterns from what has happened, and find out new product / value opportunities based on usage patterns. Learn what is Web Analytics, why is it important, and see some techniques how you can test it manually and and also automate that validation.
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The What, Why and How of (Web) Analytics Testing (Web, IoT, Big Data)
- 1. THE WHAT, WHY & HOW OF (WEB) ANALYTICS TESTING Anand Bagmar Software Quality Evangelist
- 5. WHAT IS WEB ANALYTICS?
- 6. WHY DO WE NEED WEB ANALYTICS?
- 8. WEB ANALYTICS SOLUTIONS Google Analytics SiteCatalyst AWStats WebTrends ….
- 13. TESTING AT THE REPORT LEVEL Pros ¨ Ensure report is setup correctly Cons ¨Licensing ¨Reports not yet setup ¨Validate all requests are sent / captured
- 14. Biggest Problem It is TOO LATE!
- 15. The Solution
- 20. MANUAL
- 24. WAAT - Web Analytics Automation Testing
- 25. 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
- 26. FLAVORS
- 27. WAAT-JAVA q Original flavor q Supports 2 plugins q Omniture Debugger q Proxy q HttpSniffer q JsSniffer q Available on github Will be eventually available as a Maven Dependency!
- 28. WAAT-RUBY q Ruby gem implemented over WAAT-Java q Uses RJB – Ruby-Java-Bridge q Supports 2 plugins q HttpSniffer q JsSniffer q Available on github and rubygems.org Will be changing soon!
- 29. WAAT-JAVA q Original flavor q Supports 3 plugins q Omniture Debugger q HttpSniffer q JsSniffer q Available on github
- 30. WAAT-RUBY q Ruby gem implemented over WAAT-Java q Uses RJB – Ruby-Java-Bridge q Supports 2 plugins q HttpSniffer q JsSniffer q Available on github and rubygems.org
- 32. OMNITURE DEBUGGER Pros q OS independent q Run using the regular test-user Cons q Browser dependent – need to implement ScriptRunner for the UI-driver in use q Web-Analytic solution dependent – Adobe Marketing Cloud / Omniture SiteCatalyst
- 33. HTTPSNIFFER Pros q Web-analytic solution independent q Browser independent q UI-driver independent Cons q 3 rd party libraries are OS Dependent q HTTPs not supported out-of-the-box q Run tests as ‘root’
- 34. JSSNIFFER Pros q Web-analytic solution independent q Browser independent q HTTPs supported out-of-the-box q No dependency on any 3 rd party library Cons q Need to write JavaScript to get the URL from the browser q UI-driver dependent
- 35. @BagmarAnand #waat how can I contribute?
- 36. PROXY DEBUGGER Pros q Web-analytic solution independent q Browser independent q UI-driver dependent q HTTPs supported out-of-the-box q No dependency on any 3 rd party library Cons q Making it work for Mobile needs manual setup
- 37. ARCHITECTURE
- 38. Is that all to Web Analytics?
- 39. The new “kids” in town IoT & Big Data
- 40. Some popular use cases https://www.kaaproject.org/iot-use-cases/
- 41. IOT – INTERNET OF THINGS Opportunity to ¨ Create new value propositions ¨ Be Innovative & Creative
- 42. 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
- 43. IOT – CHALLENGES ¨ Federated devices, ¨ Different types of networks ¨ Different communication channels ¨ Physical (hardware) & Virtual (software)
- 44. IOT – BIGGER CHALLENGES ¨ Too many devices ¨ Lots of data
- 45. 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
- 46. What does this mean for Testing?
- 47. TESTING OPPORTUNITIES ¨ “Testing” of these new integrations & its value propositions ¨ Performance ¨ Reliability ¨ Security https://www.wired.com/2017/03/medical-devices-next- security-nightmare/?mbid=social_twitter_onsiteshare
- 48. 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
- 50. 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/io t-data-analytics-white-paper ¨ http://www.dezyre.com/article/how-big-data-analysis- helped-increase-walmart-s-sales-turnover/109