We blend business data with geographic data to reveal the relationship of location to people, transactions, facilities and assets. We know that real issues which our clients encounter are multidimensional in nature and in many cases present high levels of uncertainty. To deal with those customer requests, we bring together comprehensive datasets based on public, commercial and government data, then engage multi-criteria analysis to distinguish the importance of different data inputs, and dynamically work through "what if" scenarios.
One-off research projects based on geo-spatial data and relevant methods.
Improved location-based decisions by combining various geographic and business data.
Aggregating the required data from various sources and filling the gaps.
Visualisation and sharing of geographical data using the latest GIS and BI tools.
We work with a large number of data sources to perform multidisciplinary location searches at local, state and national levels. Data categories that we utilise include biophysical, socioeconomic, infrastructural, and administrative information. Extensive use of spatial data allows us to answer questions specific to site cadastral boundaries or define business-specific regions. Additionally we can analyse temporal dimensions of user requirements and bring together historic, current and strategic data layers to analyse trends and increase certainty in decision making processes.
We help organisations to turn location data into business outcomes through enrichment of data, visualisation and iterative analysis. Below is an outline of steps we undertake to complete a typical location analytics project:
Identifying the requirements and opportunities.
Getting the data from multiple sources.
Filling in the gaps and enriching the raw data.
Preparing the data model for analysis.
Performing the multi-criteria analysis.
Providing the results as reports or dashboards.