Poor data quality can hurt the insurance industry's ability to detect and prevent fraud
We see that the insurance market consists of many poor and varied qualities of data. This is increasing the ease for fraud to slip through submission, on-boarding, claims and payment processes undetected. It is often hard to solve the route cause, so we have developed smarter techniques of #datafusion using #ai to improve and enhance the quality of your data.
Check out this blog for more detail and would love to hear your thoughts: Data Quality: The Key to Defending Against Insurance Fraud
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Recent conversations with industry data strategy and innovation experts have raised the alarm about data quality and transformation issues, which are hindering the consumer experience and eroding personal connections. So, how can we continue to drive digital innovation while prioritizing consumer needs and experiences?
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