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As markets shift towards globalisation with the power of new technologies, it’s important for businesses to know where their customers are. With the power of geo-mapping, it is possible to drill down user usage locations to better refine product and service offerings.
Geo-mapping is the process of tracking data to various locations. And while this information is generally displayed on a map with areas of various colours to display data intensity, it can be visualised in a range of different ways – like Bar charts or Ridgeline plots.
Let’s take a look at a few examples of geo-mapping.
Product usage per area
The best case usage for geo-mapping is the physical location of various types of data. With the power of an associative engine, airlines could, for instance, drill down to see which food items are popular on various routes. By implementing geo-mapping, the airline might see that passengers travelling from London to New York may enjoy vegetarian options, while Cape Town to Hong Kong travellers may be fond of sugar-free beverages.
If we look at the rise of global warming, it’s important for agricultural companies to preserve the land they use and make the best use of it. With the help of geo-mapping, forestry companies can use rainfall, soil type, and tree-type conditions to plan out the best areas to harvest timber and where to plant new trees. This can assist in maximising the bottom line and limiting environmental impact.
Geo-mapping in manufacturing
The car manufacturing industry is big, with the US market size hitting an estimated $82.6-billion in 2021. But an industry that size doesn’t rely on luck. There’s a lot that goes into planning where to source raw materials from, which manufacturing plants to use, and to what market a model of car will be distributed.
Geo-mapping also assists with performance forecasting and responding to critical events. With historical and resource data, the car manufacturer is able to anticipate when a problem will occur in a manufacturing plant, such as running out of a specific part. This enables the company to plan shipments from another location to fulfil orders.
By combining an analytics platform like Qlik, with the visualisation power of Vizlib, any business can uncover robust data insights from a display of the broadest overview to the most minute of details. Vizlib Collaboration empowers all users within a team or organisation to give their own feedback on various data insights, or amend discrepancies in real-time with writeback functionality.
In addition to that, users of all skill levels can utilise Vizlib Self-Service to create data sandboxes and explore meaningful insights faster. With its no-code approach, Self-Service is the perfect way to have non-technical staff explore your company’s data in an easy-to-understand way. Any team can view the various geo-mapping data pools and create their own dashboards and filters to drill down into their data.
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