Our Projects
US Health Provider Call Centre
Quickly Visualise Locations: Healthcare Facilities
The Challenge
One of the main functions of health provider call centres is helping members of healthcare plans identify where they can access the tests or treatments they need. Frequently, callers will phone in hoping to find the most convenient health facility, whether that’s close to home, work, or another key location.
Though the call centres have that data available, locating the appropriate medical facility was complicated and time-consuming. The information was there– they just needed a better way to access it.
The Solution
Mapcite created a mechanism for the call centre operatives to instantly locate the medical facilities nearest to the caller, based on the specific test or treatment required. It also helps the operative verify with the caller that the selected health facility is suitable, based on the location and driving time.
The result was improved customer experience and time saved thanks to an optimised workflow.
Charity Organisations
Location Data Capture for Charity Organisations
The Challenge
Animal welfare organizations collect vast amounts of intelligence from the public and field agents. However, without spatial visualisation, they struggle to:
- Understand the true scale of animal welfare issues
- Identify concentrations of incidents
- Recognise patterns in the sequence of events
- Make data-driven decisions for resource allocation and intervention strategies
This lack of context hampers the organizations' capacity to fully leverage their collected intelligence, potentially missing crucial insights that could drive more effective animal protection efforts.
The Solution
The Mapcite Platform provides an environment where disparate intelligence data can be visualised together. Multiple datasets can be overlaid, filtered, and even shown in a timeline sequence in the map-based UI. This display of data clearly shows the concentration, type and growth of issues in any locality. With curated and analysed data, the organization can launch evidence-driven dialogue with key stakeholders.
Analysts now have an easy-to-use, visual geographic context that helps identify previously unseen relationships across time periods and locations. New data from the field is easily added.
Insurers
Insurer's Risk
The Challenge
Many insurers have a threefold problem.
- Insurers must map out the geographic distribution of their policies. This insight allows them to identify areas where they've taken on too much risk and regions where they can safely expand their coverage.
- They need to understand the potential consequences of various risks in different locations, so they can understand the operational and financial magnitude of a threat if it arrives.
- After an insured event occurs, they need to efficiently manage their response, delivering their assessments and services in a cost-effective manner.
The Solution
Thanks to Mapcite’s data visualization tools, insurance companies have a better understanding of where their insurance policies and risk are located, and what additional capacity they have in any given location. Mapcite’s analytic capabilities enable companies to quantify the impact of potential threats on a geographic basis, helping companies understand both the total cost of a threat and the number of potential claims. These analytics can inform new workflows and response management systems.
Non-Departmental Public Body
Non-Departmental Public body Cost Reduction
The Challenge
County Councils face significant budget pressures due to severe snow events. While snowfall can be predicted, inefficient planning for gritting operations can lead to lasting financial impacts. Gritting material is expensive, and routes need to be planned efficiently to optimise both material usage and human resources.
The Solution
Mapcite employed location analytics and visualisation tools to analyse key data sets and the area's geography. This analysis highlighted roads more vulnerable to frozen snow, incorporating factors such as road gradients. The resulting insights enabled gritter operators to determine optimal routes, considering both road conditions and fuel efficiency.
The potential cost savings demonstrated by this approach convinced stakeholders to commission a proof of concept. The impact of this work highlighted the value of location data in optimising winter road maintenance operations, leading to more efficient use of resources and budget savings for County Councils.
Australian Bushfire
Australian Bushfire Risk
The Challenge
To create an indication of potential bushfire risk across the whole of Australia
The Solution
Using Mapcite to bring together Vegetation datasets as part of National Vegetation Information System (NVIS) with Buildings data from PSMA, the team has been able to ascertain 3 key wildfire factors:
- Distance to flammable vegetation
- Local fuel load
- A number of nearby properties for a location.
These fire risk metrics can be easily accessed by clicking anywhere on the map and viewing a popup via an API or by running across a preloaded list of locations and outputted as a report.
Mapcite has unlocked the value of these previously distinct datasets, providing a way for property developers and planners, insurance providers, mortgage lenders, wildlife experts, and other stakeholders to get new and immediate insight into bushfire risk anywhere in Australia.
Global ATM Provider
Global ATM Provider Location Planning
The Challenge
A global ATM provider needed to efficiently identify areas with insufficient access to domestic and cross-border cash withdrawal services.
The Solution
Mapcite implemented a system to visualise and analyzse competitor locations and other factors influencing cash withdrawal behavior. This approach enabled better decision-making for ATM placement.
In one territory, this system led to a 1,000% increase in business during the first year due to improved ATM location planning. Additionally, the company achieved significant cost savings by optimising its ATM network, reducing unnecessary machines in oversaturated areas.