The document discusses how using data analytics and predictive modeling (risk analytics) can help long-term care organizations better understand and manage their risks. It provides examples of how risk analytics can help identify facilities most at risk of claims, target risk management resources more effectively, and put claims in proper context. The document argues that incorporating risk analytics into risk management programs allows for more accurate and timely risk analysis with fewer surprises.