These days, with margins thin and competition intense, organizations of all types are turning to data analytics to gain that extra edge in understanding both what customers are doing, and what they intend to do.

However, the act of identifying, gathering and turning data into useful insights can consume significant bandwidth—something in precious supply in many overstretched, understaffed insurance operations. This is something that concerns Stuart Rose, global insurance industry marketing manager at SAS, a company that lives, eats, sleeps and breathes analytics.

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