This use case describes finding the patterns of fraudulent behavior or unnatural spending/transactions/occurrences/events trends which can be isolated and running for a span of time for an individual or a group or organization from the running feed of credit and expenditures. The feed is real time financial data streaming and SAS streaming technologies would be ingesting the data , draw out insights and predict if the spending or behavior needs to be flagged
| Team Name |
TechShine |
| Track |
Industry- Banking
|
| Use Case |
Use SAS technologies on cloud to detect frauds in real time
|
| Technology |
SAS, SAS Viya, Azure, Machine learning, SAS Event stream processing
|
| Region |
EMEA
|
| Team lead |
Anirban
|
| Team members |
None |
