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Real properties have a jumble of identifiers rather than a single standardized number that clearly defines each piece of property. Often, these overlapping and incomplete data sets of property information can result in a mess that takes hours to unravel before the property data is clean enough to use. This applies to if data is being used for understanding property vulnerability, to a natural hazard, how close it is to a power line, to a home or complying with regulations to build a pipeline.
In this episode, host Maiclaire Bolton Smith sits down with Sachin Rajpal, head of enterprise data at CoreLogic, about this issue and the impactful ways that CoreLogic is solving it.
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Real properties have a jumble of identifiers rather than a single standardized number that clearly defines each piece of property. Often, these overlapping and incomplete data sets of property information can result in a mess that takes hours to unravel before the property data is clean enough to use. This applies to if data is being used for understanding property vulnerability, to a natural hazard, how close it is to a power line, to a home or complying with regulations to build a pipeline.
In this episode, host Maiclaire Bolton Smith sits down with Sachin Rajpal, head of enterprise data at CoreLogic, about this issue and the impactful ways that CoreLogic is solving it.
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