Data Intelligence, Business Analytics
Hi, I work for a group named Survey Sampling Int. We build giant online panels and communities of survey respondents - often we give out various types of incentives for survey participation.
I'm looking for assistance and advice on the following 4 categories:
1) Discovering fraud patterns of people trying to game the system and provide recommendations for how we minimize fraud and analyze behaviors.
2) Determining the best individualized incentive strategy (much like a casino). How do we give out rewards in such a way to maximize the yield of people taking surveys?
3) Optimize allocation of respondents to available surveys in real-time as they land with us to take a survey (router optimization using a predictive model, evaluating all incoming traffic)
4) Panel behavior and performance overall based on our existing (and future) needs – predictive demand model (insuring that we have enough supply to meet our future demand for survey completes)
Thanks for any info in advance.
Where are you standing today with the project?
I think that the 4 categories may interlink. Fraudulent Patterns, Incentives, Resource leveling, and Projections – all benefit from being able to identify the phenomena and key factors of events.