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Audit - City and County of Denver

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Product Manufacturer” while the <strong>City</strong> uses “MIP” <strong>and</strong> “Optional Premises” versus“OPC”.• The two databases also note business names differently. For example, the statedataset contains business trade names or “doing business as” names in additionto the licensee name (which primarily indicates the formal business name)whereas the <strong>City</strong>’s database only contains the formal business name.Additionally, the <strong>City</strong>’s version <strong>of</strong> the formal business name may or may notmatch the formal business name contained in the state database for the sameMM business.<strong>Audit</strong>ors compared the data from the <strong>City</strong> <strong>and</strong> the state databases based on thebusiness street address, which was the only data field between the two datasets thatcould be matched. Using the business street address field, some street addresses exactlymatched between both datasets while others only qualified as possible matches.Additionally, a number <strong>of</strong> addresses existed in one dataset but not in the other. 32 Table 4shows the numbers <strong>of</strong> MM business data in one dataset with an exact match or nomatch in the other dataset.Table 4Results <strong>of</strong> State <strong>and</strong> <strong>City</strong> Data Match Based on Street AddressesNumber <strong>of</strong> State MM BusinessRecords with MatchingAddress in <strong>City</strong> Data 606Number <strong>of</strong> <strong>City</strong> MM BusinessRecords with MatchingAddress in State Data 590Number <strong>of</strong> State MMBusiness Records with NoMatching Address in <strong>City</strong>Data 65Number <strong>of</strong> <strong>City</strong> MMBusiness Records with NoMatching Address in StateData 134Without further research, the numbers resulting from our analysis indicate that a number<strong>of</strong> businesses had records with both jurisdictions <strong>and</strong> some had registered with only onejurisdiction <strong>and</strong> not the other. The audit team will share the results <strong>of</strong> the analysis with theDepartment. However, the Department should conduct additional data analysis <strong>and</strong>research to identify complete matches <strong>and</strong> differences between the two datasets.Specifically, for the cases where the <strong>City</strong> data has exact matching addresses in the statedata, the Department should perform data analysis <strong>and</strong> research to answer manyadditional questions including, but not limited to, three situations.• The Department should analyze the data for business type to determine whetherthe exactly matched addresses are the same type <strong>of</strong> MM business with both the<strong>City</strong> <strong>and</strong> state. For example, if a street address in the state data corresponds withan MM center the matching address in the <strong>City</strong>’s data should also be a center.32 Based on this matching method, exact match only occurs when the spelling <strong>of</strong> street name <strong>and</strong> street type are consistent inboth datasets. For example if the street name is misspelled in one dataset, no match is found. However, a street address as 244Main Street in one dataset is shown as a partial or potential match with 244 Main, or 244 Main Ave.P a g e 27Office <strong>of</strong> the <strong>Audit</strong>or

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