Automating Web Analytics
•
3 likes•6,891 views
Slides from workshop conducted at ThoughtWorks, Pune in vodQA, on Sat, 27th August, 2016. Workshop Facilitators - Anand Bagmar, Smriti Tuteja, Pallipuspa Samal, Rohit Singhal, S Ramalingam, Shilpa G More information about vodQA, and this workshop can be found from the following links - https://essenceoftesting.blogspot.com/2016/08/vodqa-pune-less-talk-only-action-agenda.html https://essenceoftesting.blogspot.com/search/label/vodQA https://essenceoftesting.blogspot.com/search/label/waat
Report
Share
Automating Web Analytics
- 1. AUTOMATING WEB ANALYTICS – WHY? HOW? Anand B, Pallipuspa S, Smriti T Ramalingam S, Shilpa G, Rohit S
- 2. ABOUT US ¨ Anand Bagmar ¨ Pallipuspa Samal ¨ S Ramalingam ¨ Rohit Singhal ¨ Shilpa Gopal ¨ Smriti Tuteja
- 3. What do you expect from this session?
- 4. Why do we do Testing?
- 6. HOW DO WE VALIDATE?
- 8. WHAT IS WEB ANALYTICS?
- 10. WHY DO WE NEED WEB ANALYTICS?
- 11. WEB ANALYTICS SOLUTIONS Google Analytics SiteCatalyst AWStats WebTrends ….
- 16. LEARN & OPTIMIZE
- 17. TESTING AT THE REPORT LEVEL Pros ¨ Ensure report is setup correctly Cons ¨ May not capture “true data” ¨ Licensing ¨ Reports not yet setup ¨ Validate all requests are sent / captured
- 18. Biggest Problem It is TOO LATE!
- 19. The Solution
- 25. MANUAL
- 28. WAAT - Web Analytics Automation Testing
- 29. WHAT DOES WAAT DO FOR ME? q Plugs into existing test framework q With minimal changes q Web Analytic tool independent q UI Driver framework independent q Browser independent
- 30. FLAVORS
- 31. 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!
- 32. 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!
- 34. 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
- 35. 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’
- 36. 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
- 37. @BagmarAnand #waat how can I contribute?
- 38. 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 May not work easily for Mobile
- 39. ARCHITECTURE
- 41. WHAT’S NEXT WITH WAAT? q WAAT-Net q WAAT-Ruby q WAAT-JS q WAAT-Py
- 42. HOW CAN YOU HELP? q Raise Issues (https://github.com/anandbagmar/WAAT/issues) q Help contribute (send Pull Requests)
- 43. Is that all to Web Analytics?
- 44. The new “kids” in town IoT & Big Data
- 45. Some popular use cases
- 46. IOT – INTERNET OF THINGS Opportunity to ¨ Create new value propositions ¨ Be Innovative ¨ Be Creative
- 47. 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
- 48. IOT – CHALLENGES ¨ Federated devices ¨ Different types of networks ¨ Different communication channels ¨ Physical (hardware) & Virtual (software)
- 49. IOT – BIGGER CHALLENGES ¨ Too many devices ¨ Lots of data
- 50. 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
- 51. IoT is about Data!
- 52. TO GET VALUE FROM IOT … ¨ Collect ¨ Analyze ¨ Predict ¨ Plan
- 53. What does this mean for Testing?
- 54. TESTING OPPORTUNITIES We need to build capabilities 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
- 57. THANK YOU ¨ Anand Bagmar ¨ Pallipuspa Samal ¨ S Ramalingam ¨ Rohit Singhal ¨ Shilpa Gopal ¨ Smriti Tuteja