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Article

Data analytics can reduce risk and costs in site selection while increasing opportunities

Choosing the right location for a new endeavor can be a difficult experience for any sized organization, as cost can vary greatly between U.S. geographies. Therefore, establishing a sequential framework to conduct an efficient site selection process informed by data is critical to reducing risk and selecting a location that leads to a successful project.

In this article for Area Development, Chris Urchell details how to utilize data analytics effectively throughout the site selection process by using key metrics like a company’s supply chain and logistics network, labor needs, utility rates and state and local tax impact.

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