Automating Web Analytics
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The document discusses the necessity of automating web analytics through a framework called WAAT (Web Analytics Automation Testing), highlighting its benefits and challenges. It also addresses the impact of IoT and big data on analytics, emphasizing the need for effective testing to manage the vast amounts of data generated by connected devices. Resources and contributions for WAAT development are provided, showcasing its importance in optimizing web analytics and data collection processes.
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