Geo Spatial Analytics

Geographic Information Systems that inform and improve decision making

OpenApp harness a suite of technologies and a decade of experience in creating Geographic Information Systems (GIS) that allow their clients to capture, analyse and present spatial information. We help to make data useful by freeing it from Excel tables and visualising it using cutting edge technology. OpenApp’s Geo Spatial applications are award winning and underpin mission critical emergency services applications to large infrastructure management projects, monitoring national resources (motorway and primary road network).The solutions incorporate rastors (Ordinance Survey Ireland, Context Maps and Google maps) and vectors (Ordinance Survey Ireland, National Road Authority and many other agencies such as hospital locations). These maps are given context by adding boundaries such as counties, local authorities, electoral divisions, health service (LHO, CHO, primary care and mental health). The HSE Health Atlas is one great example of this, which the HSE use to discover patterns and trends form HIPE or census data, exploring for example, correlations between coronary disease with deprivation levels. Another is the AeroMedical system which assists the Aero-Medical Services to rendezvous air and ground assets so that emergency patients are safely and rapidly transported to specialist facilities.

Reporting

  • Easily create beautiful visualisations of your information
  • Thematic maps (Chloropleths) – using shading/patterns to display measurements of a statistical variable
  • Geo-scatter plots where data is displayed as a collection of points
  • Fixed reporting services
  • Self-service reporting services Narrative report services

Productivity

  • Improved decision making
  • Web based dashboards to share and communicate
  • Real-time vehicle location services
  • Strategic planning support

Analytics

  • Give context to your data by connecting it to public data
  • Easily define catchment areas and create narrative reports of the underlying information
  • Identify optimised locations (based on filters and user defined criteria)