GEOgraphic Location Aware Business
What is it?
Mobile operators use advanced computer models (Atoll) to calculate mobile coverage and capacity. This data is used to further optimize and expand the mobile network. At the same time, there can also an obligation to provide the coverage data to the national telecom regulator for coverage monitoring purposes.
At Vimento, we have built a system that automatically interconnects this coverage data with several other data sources. Examples of these are address data, CVR company data, the operator’s own data. It is only the imagination that sets the limits.
Once the data is automatically retrieved, validated, and linked, they are presented in an interactive dashboard, with the ability to create filtered lists of leads for use in B2B and B2C sales, as one of the use cases.
Some of the benefits of the GEOLABS3 concept are:
- Coverage data available to everyone in the organization
- Alignment of many different data sources that provide new levels of information
- Integration with data on existing technologies – fiber, coax, xDSL, mobile data
- Automatic updates when new datasets are available
- Data-based knowledge transfer across departments and silos
- A team with a high level of knowledge and competence spread over a few amount of resources
- Tailor-made interactive user interfaces for each use case
- Access to a unique knowledge bank about the telecommunications market – technologies, market, players, data sources, and use of data
What does it contain?
We call it a strategic information system that generally consists of a back-end and one or more front-ends. In the back-end, there is an ongoing automatic collection of all the data sources that are relevant for a front-end. Once back-end has collected data, they are stored, or are further processed with machine learning or artificial intelligence to expand the information level of data as much as possible. A front-end is the place where the processing data is presented and filtered according to different criteria.
How can it be used?
Imagine that the sales manager for business customers can select the top 100 best potential new customers within a defined area. Quite simply by using coverage data in combination with geographic business data and data on existing competitive broadband technologies.
The same possibility to make qualified lead lists is possible on the private customer side.
In addition, GEOLABS3 offers a wide range of benefits in other parts of the organization such as:
- Opportunity to communicate new or upcoming coverage in public relations and marketing context.
- To create an easy and common understanding of the coverage throughout the organization.
- An opportunity to have commercial decision support in the form of companies and other customer groups that can provide a quick ROI of future investments in the network.
Example: B2B Sales
In this use case, we see how the combination of coverage data, business data and data on existing technologies can be used to generate industry-specific lead lists of potential business customers.
In this example we specifically want to sell 4G / 5G mobile broadband connections to agriculture that does not have access to fast fixed xDSL or fiber connections in central Jutland.
First, a filtering is done at CVR level, where existing customers are filtered out. Then the industry is set to “Plant and livestock breeding, hunting and services in connection with this” and finally the number of employees is set to at least 1.
It is then filtered by the companies’ geographical located in the Central Jutland Region.
With the technology filter, we can choose of agriculture without access to fiber. We also have the option of setting the maximum xDSL speed to, for example, 20 Mb / s download. Finally, we can set the mobile outdoor speed to at least 50 Mb / s.
Left now is a list of farms with at least one employee who can not get an up-to-date fixed broadband connection but have the option of having a fast 4G or 5G mobile broadband connection ready to be handed over to the sales team.
Such a list will provide a much higher order value or closing rate than the traditional call lists.
You can swipe sideways in the example to the right to view the next example.
Eksempel: PR og kommunikation for dækningen i Regioner og Kommuner
In this example, comparisons of coverage data by regions and municipalities, technologies, demographics or geography can be made.
It is particularly useful when it comes to communicating coverage improvements over time to municipalities or other public authorities. Most coverage maps represent only a here and now image, but with our edition we can illustrate the change between a historical and the current coverage map.
The change is stated either in Mb / s per area (geographical) or in Mb / s per person (demographic).
The map of the municipal coverage data is shown in this example as a benchmark list where the municipalities are ranked according to the desired KPI.
Example: Expansion and upgrades of the network – master
In addition to coverage data, we can also illustrate the expansion of the network by showing where masts have recently been set up or upgrades have been made to existing masts.
At the same time it can be used to communicate the expansion is imminent new masts or upgrades.
We have correlated the mast data with the coverage data, and this creates opportunities to show what consequences a new mast or an upgraded mast has had for companies and citizens. At the same time, it is possible to identify companies and citizens who within the next few months can expect to experience a coverage improvement due to new masts or upgrades.