1. Introduction to VM SPACE
Geographic Information System (GIS) allows users to envision the geographic aspects of a body of data. Users can query or analyze data and receive results in the form of graphical maps. Since many kinds of data have important geographic aspects, GIS applications have many applications: logistics planning, sales analysis, resource management, performance benchmarking and etc.
VM launched its SG version in January 2002 and designed it to be easily accessible by end-users through the use of legends and colour schema employed by popular published directories. The software has the flexibility of rendering raster-based images as well as industry standard vector files (eg. Mapinfo, Autodesk, ArcInfo), allowing the reuse of previous investments in surveys and cartographic design.
Through the use of Singapore’s unique postal code system, VM SPACE™ is able to visually represent virtually hundreds of locations in a matter of seconds. This is particularly powerful as it allows enterprises to analyze their data in a new dimension.
Having been contracted by numerous corporations in different market, VM is pleased to offer its customized GIS services for the following industry sectors.
Marketing Solutions
VM Space Marketing Solutions (Sales and Customer Analysis)VM SPACE: Marketing solution specifically allows users to analyze their internal as well as competitor sales information on a common platform. The system is appropriate for companies that segment their sales territories by geography and have a widespread distribution channel.
Unique System Functionalities:
- Analysis and demarcation of sales territories and performance by geography.
- Comparison of sales with competitors through customized thematic analysis.
- Analysis of customer demographic data through VM extensive details of company and residential listings.
- Area demographic through consumer surveys.
Case Study Project: Asia Pacific Breweries
VM was contracted by APB to develop a distributor analysis tool for its strategic planning unit. Primary objectives were to visualize the service points for each of its distributors and to base rationalization decisions on various factors such as physical distance, service levels and stock keeping units. The project required that the system import data from 3 separate files with more than 4000 unique datapoints.
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