Thoughts - Ideas - Application Log Analytics

• The average number of users per day
• The average number of User login by day 
• Top Peak hours of App usage by weekday/weekend
• User - Preferences - Areas spent in App
• Weekend Usage
• Duration of Average successful transaction
• The age group of users vs Duration of users
• Multiple logins per day
• Average session for multiple users
• Average transactions are done per month by age group
• Segmentation of customers based on areas of usage - Age_group, App_Area, Number_of_Transactions_per_day, Number_of_Login_by_day
• Segmentation of customers based on Transaction types, Transaction value, Transaction category
• Types of App Errors
• Types of Timeouts
• Peak App Usage during Holiday
• Peak App Usage during Markets Signals (High)
• Signals at Month End, Quarter End, Fiscal Year-End
• Trend usage patterns during quarters / Months / Holiday 2 Week periods
• Usage Life year over year
• Hourly Patterns 

Keep Thinking!!!