Evaluating the attractiveness of the market in which branches operate using GIS can help the bank industry decide whether to reduce their presence in that market and assess the risks involved.
Many advantages that other data types cannot achieve. Financial institutions use this type of customer data, and banks can do everything from tracking competitors to evaluating customer loyalty. By purchasing location data, financial service providers can derive more benefits from their data.
Exploring the customer model.
The “spatial interaction model” captures the location patterns of customers, and they can choose which branch to trade with. The system can consider the proximity of branches based on geographic location (for example, the degree of competition, regardless of whether the branch is located on the “homecoming” side of passengers, etc). For thousands of locations at the same time, it can conduct a comprehensive analysis of the location of guest houses To determine the impact on the branch. Branches have a better understanding of the opening of nearby branches.
Priority of site location
In addition to evaluating the functions of a particular site, GIS also helps determine the priority of alternate sites, evaluate the expected performance of existing branches based on market conditions, and quantify the estimated financial impact of changes in the branch network (including competitors). As well as evaluating enterprises, which can install small bank kiosks and branch relocation facilities, to name a few.
The predictive industry performance model
It is mainly based on the analysis and visualization provided by GIS to determine industry performance (revenue, managed funds, registered customers). Measure more accurately in addition to the actual financial performance of the industry itself, and use the same type of concepts to measure the performance of new products and services. In this new product and service, new customers can be tracked based on other market data to assess penetration. . They found that the success of these new products depends in part on the selected geographic model and demographic information of the market.
Online monitoring of cash status on ATM.
In the field of ATM management, allocating and replenishing cash on time and on time is a major challenge, because dead money will cause a lot of interest losses. The supplement and management of ATM provide an efficient method for the cash management cycle. Automatic discovery can provide real-time data to optimize real-time ATM services based on actual customer needs. It is a flexible and dynamic model that can work in real-time and improve ATM services based on the actual needs of customers, thereby increasing efficiency and reducing costs.
GIS software can display a large amount of information on a map, including demographic information such as population, income and financial services. These visualization functions enable financial institutions to view and analyze patterns in the data, and operate on the resulting data.