Not all risk management efforts need to be innovative or resource consuming. Benchmarking Business Analytics with peer group companies can also yield valuable risk management benefits. Take for example lending patterns, loss provisions, NPA and credit concentration. By closely tracking these parameters to industry benchmarks and also to any standard or expected dataset, a company is able to steer away from building a risky business book. A Bank with a growing NPA figure which is moving in a direction different from other banks indicates that the Bank is not able to manage its credit risk well. This Bank then performs an internal assessment and comes up with a series of business and strategic changes to drive down NPA. So, essentially, although innovative risk models and datasheets will help the Bank to monitor NPAs and ultimately credit risk, a simple reality check against the peer group provides similar assurance. This is not to say that Risk Management techniques are not needed or not worthy. This article only wants to highlight that traditional Analysis and easy to implement checks should always form part of a comprehensive risk management framework. If possible, such benchmark analysis can be converted in Key Risk Indicators (KRI) such that a breach of these KRI can trigger appropriate management action. As in the example above, the KRI could be as follows. (Bank NPA level / Industry NPA Level ) should not exceed 1.5x There are many more examples of how traditional data can be converted into smart risk management tools or indicators.