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#ATAGTR2017
16th - 17th March
Analytics Testing
Niyati Shah
Agile Testing Alliance Global Testing Retreat 2017
Agenda
 Define Analytics
 Business use of Analytics
 Analytics Testing – How it is different
 Case Study
 Approach for Analytics Testing
 Benefits
Agile Testing Alliance Global Testing Retreat 2017
What is Analytics?
Analytics is the process of :
 Information Discovery
 Interpretation
 Communication of meaningful patterns in data
 Arriving Business Decisions
Agile Testing Alliance Global Testing Retreat 2017
Why Analytics?
Agile Testing Alliance Global Testing Retreat 2017
Business Use of Analytics
Agile Testing Alliance Global Testing Retreat 2017
Analytics Testing -How it is Different
Agile Testing Alliance Global Testing Retreat 2017
Analytics use case
 Fraud Detection
o Track user login
o Identify the pattern
o Based on outlier/spike identify malicious
login/activity
Agile Testing Alliance Global Testing Retreat 2017
Failed user Login – Data Set
Time No of Failed Login
Attempts
Standard Deviation Percentile
Hour 1 10 - -
Hour 2 14 12 10
Hour 3 12 12 12
Hour 4 15 12.75 12
Hour 5 20 14.2 14
Hour 6 500 95 15
Hour 7 80 93 15
Agile Testing Alliance Global Testing Retreat 2017
Flow for Analytics Testing
Agile Testing Alliance Global Testing Retreat 2017
Algorithm Selection
 Type of Algorithm:
o Standard Deviation
o Percentile
 Algorithm Selection Criteria
o Accuracy
o Performance
Agile Testing Alliance Global Testing Retreat 2017
‘Design Thinking’ Approach
Think Big, Act Small, Fail Fast, Learn from End user and Refine
Agile Testing Alliance Global Testing Retreat 2017
Benefits of ‘Design Thinking’ Approach
Agile Testing Alliance Global Testing Retreat 2017
Q & A
Reach me@
niyati.shah27@gmail.com
https://www.linkedin.com/in/niyati-shah-1028a51b/

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ATAGTR2017 Analytics Testing

  • 1. #ATAGTR2017 16th - 17th March Analytics Testing Niyati Shah
  • 2. Agile Testing Alliance Global Testing Retreat 2017 Agenda  Define Analytics  Business use of Analytics  Analytics Testing – How it is different  Case Study  Approach for Analytics Testing  Benefits
  • 3. Agile Testing Alliance Global Testing Retreat 2017 What is Analytics? Analytics is the process of :  Information Discovery  Interpretation  Communication of meaningful patterns in data  Arriving Business Decisions
  • 4. Agile Testing Alliance Global Testing Retreat 2017 Why Analytics?
  • 5. Agile Testing Alliance Global Testing Retreat 2017 Business Use of Analytics
  • 6. Agile Testing Alliance Global Testing Retreat 2017 Analytics Testing -How it is Different
  • 7. Agile Testing Alliance Global Testing Retreat 2017 Analytics use case  Fraud Detection o Track user login o Identify the pattern o Based on outlier/spike identify malicious login/activity
  • 8. Agile Testing Alliance Global Testing Retreat 2017 Failed user Login – Data Set Time No of Failed Login Attempts Standard Deviation Percentile Hour 1 10 - - Hour 2 14 12 10 Hour 3 12 12 12 Hour 4 15 12.75 12 Hour 5 20 14.2 14 Hour 6 500 95 15 Hour 7 80 93 15
  • 9. Agile Testing Alliance Global Testing Retreat 2017 Flow for Analytics Testing
  • 10. Agile Testing Alliance Global Testing Retreat 2017 Algorithm Selection  Type of Algorithm: o Standard Deviation o Percentile  Algorithm Selection Criteria o Accuracy o Performance
  • 11. Agile Testing Alliance Global Testing Retreat 2017 ‘Design Thinking’ Approach Think Big, Act Small, Fail Fast, Learn from End user and Refine
  • 12. Agile Testing Alliance Global Testing Retreat 2017 Benefits of ‘Design Thinking’ Approach
  • 13. Agile Testing Alliance Global Testing Retreat 2017 Q & A Reach me@ niyati.shah27@gmail.com https://www.linkedin.com/in/niyati-shah-1028a51b/

Editor's Notes

  1. Data Valocity, Variety, Volume, value
  2. Empathise: Understand the problem by discussing it with experts, get understanding of environment, this will make sure, individual assumptions are kept aside. Define: Define the problem statement. Ideate: How the problem will be solved. To identify new solutions to the problem statement you’ve created, and you can start to look for alternative ways of viewing the problem. Prototype:The solutions are implemented within the prototypes and, one-by-one, they are investigated and either accepted, improved and re-examined, or rejected on the basis of the users’ experiences Test:the results generated during the testing phase are often used to redefine one or more problems and inform the understanding of the users, the conditions of use, how people think, behave, and feel, and to empathise. Even during this phase, alterations and refinements are made in order to rule out problem solutions and derive as deep an understanding of the product and its users as possible.