Sampling was a product of a time when obtaining and processing data was expensive, both in terms of time and money
Modern computer technology means that the cost of acquiring, storing and processing data has fallen dramatically
Rather than sampling a small subset of the data, it is now possible and affordable to acquire data on the off-chance it will be useful; and then either examine extremely large samples, or indeed process all the data
Big data analyses huge pools of data to find new connections that would have been missed by randomly sampling a tiny fraction of all data
Big data

Analysing huge pools of data to find new connections that would have been missed by randomly sampling a tiny fraction of all data
Fraud accounts for a tiny fraction of all transactions, so it is highly unlikely a sample of transactions taken from the many millions of transactions made every day would include a single case of fraud
By examining all transactions for unusual patterns of activity, potentially fraudulent transactions can be identified for further investigation
Fraud detection

The financial company Xoom specialises in remittances: money sent by immigrant workers to their home countries
This is a business which has traditionally been vulnerable to fraud and money laundering
Xoom's automated systems scrutinise every one of the company's transactions
In 2011, they identified a string of payments originating in New Jersey made on Discover credit cards
None of the transactions were themselves unusual, but the pattern created by the times of the transactions, the sums transferred and their recipients were sufficient to arouse suspicion
Xoom's fraud detection team were alerted and found the transactions involved criminal activity; the payments were blocked, no customers lost money and the criminals were identified