Apps to Profile Fraudsters based on Social Behavior
Posted by Nikhilesh Murthy (View Profile | View All Posts) | September 17, 2013 11:07 AM
"With the world going social and large amounts of operational data organizations collected over the last decade, data is getting BIG-petabyte big-and this tall order has assumed somewhat insurmountable proportions. For instance, bankers are looking at big data to tell them which customers are at the greatest risk for account take-over fraud. Automotive insurers are seeking to identify, with big data analysis, those exact customers who are considering a new car purchase with their next insurance renewal. And this has set off the trend to procure big data point solutions, including those on social computing networks-for each business function, and each process requirement." Said Vishnu Bhat, Vice-President and Global Head Cloud and Big Data in a feature that was published on Data Quest on 19th March 2013.
Click here to read the entire feature, courtesy Data Quest
Comments
Hi Everybody,
Big Data Analyzed solutions are not solutions merely drawn out of data sketched to graph - Big Data solution is by and large precise predictions drawn out of intelligent algorithms that sees beyond the literal meaning of the data available / subjected to analysis.
So,try to visualize the strength of predictive projection,its almost to the possible accuracy.
Posted by: Venkatesapalani Thangavelu | October 10, 2013 11:25 AM