Identify anomalies in data trends
Budget: $30 – $250 USD
Looking for a statistical analysis to identify abnormal behaviour in data. With dynamic dimensions.
For example
A data has following dimensions
1. Date (1-DEC , 2-DEC … 25-DEC)
2. hour (0, 1, 2 …. 23)
3. type (website, app etc.)
With following measures
No. Of hits
We want a solution that can pick each dimension figure and try to identify anomalies
For example
Pick each day and compare with other days (against each dimension) , hours and types
Pick each hour and compare with other hour, days and types
Pick each type and compare with other types, days and hour
Identify if the traffic trends and look for drops and increase systematically
This is just an example .. the number of dimensions/measures should be flexible/dynamic ,
For example
A data has following dimensions
1. Date (1-DEC , 2-DEC … 25-DEC)
2. hour (0, 1, 2 …. 23)
3. type (website, app etc.)
With following measures
No. Of hits
We want a solution that can pick each dimension figure and try to identify anomalies
For example
Pick each day and compare with other days (against each dimension) , hours and types
Pick each hour and compare with other hour, days and types
Pick each type and compare with other types, days and hour
Identify if the traffic trends and look for drops and increase systematically
This is just an example .. the number of dimensions/measures should be flexible/dynamic ,