Last week, I had the honor to be hosted at HARTerra Spatial Solutions by Mr. Jason Hart, the GIS specialist who owns the company, which has more than 20 years of experience delivering enterprise GIS solutions for the Natural Resources, Hydropower and Utility sectors as well as for the municipal and provincial government of British Columbia. We had a nice talk about HARTerra, his career and about challenges and opportunities in the GIS public and private demands, as well as in the GIS job market.
We took the systems view of geographic information systems (GIS), describing such technologies as a set of linked components used to capture, store, transform, analyse and display geographical data. In early GIS each of these components might exist as separate programs, with the output from one forming the input to another. Today users expect much greater integration and interoperability, and desktop GIS have become powerful and widely used tools for managing a wide range of geographical information. Continue reading GEODEMOGRAPHIC INFORMATION SYSTEMS AND ANALYSIS
How the following retail question might be answered within a GI analytical environment? Suppose a consumer lives at location i (to be found at coordinate xi, yi) then what is the likelihood that they will visit a particular retail store at some other location j (at coordinate xi, yi)? Continue reading SPATIAL INTERACTION MODELS – Richard Harris, Peter Sleight, Richard Webber
Geographic information systems have been described as a set of technologies that help us to see our small blue planet in better ways (Longley et al., 1999). More commonly referred to by the acronym GIS, applications include: local governance; business and service planning; logistics; and environmental management and modelling. In both public and private sector research, GIS are used to manage geographic information, help identify geographical trends and patterns and to model spatial processes.
However, GIS have been described as a “nearly” technology for marketers (McLuhan, 2003). Beyond the hype, the actual use of GIS presently is limited to the larger retailers and suppliers, with little expansion into marketing applications. This, despite widespread agreement that the true value of geographical information is only revealed once that information is analysed geographically! McLuhan (2003) cites a survey by GeoBusiness Solutions revealing that only 28% of company boards fully understand the operation and marketing benefits of GIS, with the perceived (and often, actual) high cost of investing in GI software and data products being one of the barriers to GIS reaching its potential. Continue reading Geodemographics and GIS – Richard Harris, Peter Sleight, Richard Webber
Geodemographics is the “analysis of people by where they live” (Sleight, 1997, p. 16). It is the suggestion that WHERE you are, says something about WHO you are; that knowing where someone lives provides useful information about how that person lives. To quote some product advertising, it is the possibility that “we know who you are, because we know where you live”. It is a simple idea – one that has shown itself to be of commercial value and the catalyst of a rapidly growing and globalizing industry. Continue reading Geodemographics, GIS and Neighbourhood Targeting – Richard Harris, Peter Sleight, Richard Webber
Consumer packaged goods are small, non-durable items that are generally bought at the grocery store. These might include soda, breakfast cereal and laundry detergent. Like most retailers and manufacturers of consumers’ goods of any type, the consumer packaged goods industry is beginning to use micro-marketing techniques (Buxton 1993). Through using a sophisticated combination of databases and manipulation techniques, product marketing programmes can be developed at the retail chain level. In the US, almost all grocery stores use check-out scanners. These scanners read a bar-code on each product and automatically provide the price of the product. This is convenient for stores because they can change the price of the product (such as for a sale) without having to re-tag each item. Not only is this convenient for stores, but because of this process, a very rich database of what brand’s products are purchased at what stores is generated. These data are aggregated into approximately 50 “scanner markets” that cover various portions of the US. By combing these data with the demographics that tend to drive product demand, such as age and income, a buying power index (BPI) can be modelled for stores. The BPI indicates how much of various products could be sold at that store. By knowing a store’s BPI, the retailer can improve the product mix (micro-marketing) to “push through more product” – to use the industry jargon.