Line Visualisation – Why It’s So Much More Than Just A to B
22. January 2019
To break down the concept of line visualisation, let’s go back in time for a moment. You have a map. We’re talking an actual, coffee-stained, physical map here. You need to get from A to B. So what do you do? You guesstimate a whole load of variables in your head, plot the optimum route and draw a line. The exact same principle applies to a line plotted on a location intelligence map. Only the process is a lot more sophisticated.
Now let’s return to the present. Fold up the map and take out your smartphone. You need to find the quickest route to your destination of choice. So you launch your go-to mapping app (usually Google Maps) and tap in your locations. What happens? It automatically inputs the distance of the route, real-time traffic alerts, the amount of lights you’ll get stuck at, the average speed limit and a whole bunch of other data. And what comes up on your screen? Lines. In bright beautiful blue. Usually 2 or 3 different routes that lead to your desired endpoint. If you’re unlucky, you’ll see your nice blue line develop pulsating red bulges indicating expected traffic. This is the most common everyday case of a line visualised and computed from a set of variables.
How line visualisation can transform your business analysis
Let’s say you work in the food delivery sector. Wouldn’t it be great to have a platform that can intelligently visualise your delivery routes as lines on a map? Lines loaded with a whole range of super-helpful, parameter-specific data? CleverAnalytics have developed just such a tool.
A great mapping tool for food delivery businesses
Suppose you want to track the performance of your couriers along specific routes over a given time period. First, you need to know how many couriers operate on the route. Second, you have to factor in the amount of trips they take. If we filter the data using these two parameters, the lines will appear thicker or thinner depending on the frequency of the trips and the number of couriers that travel on the route. The busier the route the thicker the line, and vice versa. You can also apply different filters to obtain more detailed information, such as the price of the order, type of cuisine, aggregate distances covered over time, and so on.
So what other variables are helpful? Here’s one. Thanks to line visualisation, you can see which delivery routes regularly experience delays. This information helps you make a smarter choice in terms of strategising your marketing roll-out and increasing customer satisfaction ratings. For instance, you can either (1) provide more realistic ETAs for your customers and reduce time-related complaints or (2) optimise the route by assigning it high-performance couriers to keep within your delivery-time targets. This is just one of the many examples of how visualising context-rich data can have a positive effect on business outcomes.
Select optimum transport routes using line visualisation
What could other businesses benefit from line visualisation? Suppose you’re a private coach operator or a city bus tour service-provider and want to expand your business to attract more customers. Naturally, you’ll want to add new routes. Visualising a set of proposed routes as lines will immediately bring your data to life and simplify decision-making. It will also give you the option to finetune your route to target the largest catchment areas, to identify potential pick-up points at ideal locations, and to refine time schedules.
Data + Lines = Better Choices
Visualising data-loaded lines can mean the difference between making a poor decision and a great one. Only when data becomes easy to analyse using defined visuals are you able to plan better and make more informed choices. CleverAnalytics’ line visualisation solution gives you the clear picture.