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Location, location, location? Data quality is key

Geocoding is beneficial to any business that manages address information as it allows key objects like customer demographics and risk profiles to be plotted on a map. But, says GARY ALLEMANN of Master Data Management, it is critical to verify the data quality before geocodes are applied.

The term ‚’geocoding’ has become one of the latest buzzwords in the business space, and is touted for its ability to deliver a range of benefits. Geocodes provide a precise location, expressed as latitude and longitude co-ordinates, and as such have many applications across different industries. This data is not new but is becoming more useful with the introduction of spatial business intelligence tools that present business information on a map.

The benefits and challenges of linking address and spatial data are explored in detail in the whitepaper An Introduction to Geocoding which can be downloaded here.

One of the applications of geocoding is to improve service delivery, both for retail and government sectors. Geocoding data can be used to determine the density of populations or the density of customers in specific areas, as well as the layout and distance of these customers or populations to existing stores or facilities such as hospitals, schools and so on. A visual plot of store coverage overlaid with customer locations allows retailers to plan the locations for new stores thus providing convenience to customers and therefore more likely foot traffic in the stores. For government service delivery new facilities, such as hospitals and schools can be planned for precisely where they are needed, and costs can be allocated to the correct service area.

Location is also important for risk management. By plotting the location of an insured risk on a map, and overlaying this with risk factors such as flood plains, or crime levels, insurance firms can optimally calculate risk for each insured address. Location data can be critical disaster management, making it simpler to ensure that emergency services arrive as quickly as possible.

Another common application is to use location data for route planning. Shipping and logistics firms can optimise productivity by plotting delivery and collection addresses on a map, reducing errors in delivery and plotting the most efficient routes for each vehicle. This helps to optimise efficiency of the delivery chain, saving time, fuel and resources while at the same time improving customer service.

Geocoding data is available from various sources. However, it is often not a simple matter to add this data into existing address information, since lack of standardisation and poor quality data can negatively impact the applicability of geocoding data.

For example, the spatial data, or data from the geocoding database, may recognise ‚”CAPE TOWN‚” as a city. However, in a company’s records, the name may be misspelled, as CAPE TWON or CAPETOWN, or even be in another language, such as KAAPSTAD, or may be buried in the wrong field in the database. These are common issues which can cause a failure in the lookup of geocoding data, meaning that accurate locations cannot be added.

In order to reap the benefits of geocoding data, it is critical to apply sophisticated cleansing and matching to improve address quality before geocodes are applied. Data quality and standardisation tools, such as the Trillium Software System, find these common errors and correct them, as well as identifying the same address that may be represented in two different ways, based on its elements. For example, data cleansing for geocoding should be able to recognise that KERKSTRAAT 11, Pretoria is the same address as 11 Church Street, Pretoria. By addressing data quality and standardisation issues, the probability of finding a match and being able to add an accurate location is vastly improved.


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