Geospatial Analytics
Geospatial data, technology and analytics are core competencies at Lynker Analytics. Our team are experienced in designing, implementing, and supporting enterprise GIS platforms across the public and private sector.
An Esri business partner, we are well versed in all aspects of the web GIS architecture and how to deploy ArcGIS and other applications to deliver business outcomes.
We provide a wide range of services spanning system design and architecture, spatial analytics, data visualisation and information engagement.
Technology and Architectural Advice
We know a geospatial system of record is essential to good organisational outcomes along with a robust data management plan and data architecture. We have senior GIS and data infrastructure experts who can advise on GIS technology, data management and deployment architecture.
Our team can also advise on people, process and governance aspects to ensure you are maximizing your investment in geospatial data and technology. Our advisory services include:
GIS systems architecture
Geospatial data management
GIS software selection and configuration
GIS systems administration and governance
Together with our data infrastructure team we can assist with Cloud migration and system refresh activities considering factors such as storage, data transfer, latency and software.
Spatial Analysis
Geospatial Analytics is the discovery, interpretation and communication of patterns within geospatial data in order to promote better business decision making.
Geographic information systems [GIS], which can correlate data in time and space and integrate it with many other types of information are increasingly critical inputs to decision systems
Can GIS make ai smarter
Our team has expertise right across the geospatial analytics domain including image processing, 3D analysis, site selection, multi-decision criteria analysis and more.
We can help you solve complex problems through the power of geography. Our experience with deep learning also means we can apply artificial neural networks to location data to handle massive data sets.
Deep learning has for example created the ability for example to accurately detect objects and categorise pixels from imagery at scale. Neural networks can be trained to detect and document geometries of buildings, roads, crops, excavated land… or to detect and classify assets and their condition.
Engagement Systems
Understanding comes through effective presentation of insights derived from reasoning over data. Our team are expert in knowing what visualisation strategy suits your data and the analytics use case.
Data Visualisation is really the modern equivalent of visual communication. We build engagement systems through data visualisation to explain the significance of information by placing it in a visual context.
Colorado Hazards Explorer
Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualisation.
One of our strengths are dashboards and storymaps which are an information management tool used to track KPIs, metrics, and other key data points relevant to a business, department, or specific process.
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Dashboards simplify complex data sets to provide users with at a glance awareness of current performance plus the ability to conduct analytics on the fly and ask ‘what if’ questions. Business dashboards allow decision makers to vet their assumptions and make better decisions in real time.
We can help you plan, design, cost and implement a engagement system that suits your budget and business requirements.