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online County wide Internet GIS data browser that will be implemented . At present, an internet <br /> mapping application is being used in the Property Appraiser' s Office to disseminate information to <br /> the public . However, there was a stated need to migrate to a different application since the <br /> current one is quite weak on custom queries . Consequently , an alternate solution is being <br /> considered . The Internet browser should have the ability to incorporate data from the various <br /> departments as opposed to fax data alone . <br /> The Tax Collector ' s Office can provide information for a mapping application that will enable <br /> citizens to view and analyze Information specific to Tax Collector operations such as Tax Parcels , <br /> mobile homes , and occupational licenses . The mapping application should also incorporate the <br /> ability for the public to view non-sensitive Tax Collector and utility data integrated with address <br /> locations . This effort should be coordinated with other departments in the County that manage <br /> complementary data . <br /> As part of the County ' s objective to migrate to a more robust Internet GIS data browser, the Office <br /> should coordinate with the recommended GIS Director to integrate departmental GIS data into the <br /> Internet-based application . The Office should identify additional functionality that may be required <br /> in addition to the County ' s base enterprise offering . <br /> More information on Internet GIS data browsers can be found in the Enterprise-Wide Applications <br /> section of this chapter. <br /> �lS Case Study: The City of Ontario, CA Collects Revenue More Efficiently <br /> Faced with the uncertain economic climate in <br /> Southern California in 1993 , many cities realized they 8 <br /> needed to collect existing revenues more vigorously . Ll <br /> Noncompliance with local business licensing laws was m , !_ <br /> costing them thousands of dollars in lost license fees <br /> and sales tax , and uncollected penalties . <br /> - Instead of simply spending more staff time using the - <br /> same old collection methods, the City of Ontario <br /> "built a better mousetrap" using the City's GIS . The I" <br /> resulting application was less labor intensive and <br /> produced far more revenue than more traditional <br /> methods . <br /> Ontario, located in Southern California , has 6 ,000 businesses in its 36 .8-square-mile jurisdiction . The <br /> potential revenues to be gained were enticing but the task of physically inspecting all businesses in <br /> the City was formidable . The traditional method of finding illegally-operating businesses required <br /> employees of the Revenue Division to canvass each neighborhood block by block on foot and <br /> then manually cross-reference licenses and inspections . <br /> The revenue application began as a request from the Revenue Division for a map showing the <br /> commercial and industrial locations in the City . Revenue Division staff would be sent out to do a <br /> physical inventory based on this map that would focus their efforts and eliminate areas where <br /> businesses were very unlikely to be found . This original plan would have increased the efficiency of <br /> the physical inventory , but GIS staff realized that this audit could be more effectively done without <br /> ever leaving City Hall . <br /> A pilot program was devised to test the GIS audit concept . Using ArcView GIS , staff searched the <br /> land use database for all parcels containing two or more commercial or industrial uses such as high <br /> 262 <br /> GIS Needs Assessment and Implementation Plan Chapter 1 - Departmental GIS Needs Assessments <br />