GIS Business Analysis

Business Analysis

A key function of geographic business analysis involves determining the optimum site location for retail outlets, manufacturing plants, distribution centers, and administrative offices. Attribute selection algorithms and raster/vector algebra is used to identify locations that meet a range of selection criteria such as zoning and land use; population demographics; household income; education; proximity to transportation features such as highways, railways, ports, and air; commuting distance and availability of recreational features. Business analysis can also be used to find the location of competitors, suppliers, and current and potential customers. Geographic business analysis also uses demographics such as household income, age-based population breakdown, and home and car ownership combined with zip code spending patterns to target geographic product preferences and marketing campaign strategies. When combined with geocoding, zip code spending patterns can be used to prepare address lists for mail and advertising campaigns. Finally, GIS can be used by companies to visually represent the inside of their facilities and building to see where they can remove potential bottlenecks and unnecessary processes, streamline material flow, and place more frequently accessed products within stores and warehouses.

My Experience

I have training and experience in Geographic Business Analysis as follows:

  • Determined and mapped the optimum location for an ice cream plant in Wisconsin based on the analysis of multiple selection variables including the geographical distribution of the dairy herd size, distance from an interstate, average population, average education level, and distance from outdoor recreation.
  • Determined the location of parcels suitable for development of a vineyard using raster algebra to select the optimum based on the following variables: maximum wind velocity, minimum winter temperature, minimum soil depth and drainage, soil temperature, parcel size, and land ownership.(Pictured Below)
  • Using strata data, I identified geographic areas of high radon potential in a region of Pennsylvania, matched these to associated zip codes, and prepared a mailing list for home radon test kits using parcel addresses within the zip codes. (Pictured Below)