SPOTFIRE generated visualisations and more than 50 specialised for industry applications.”
Spotfire’ s“ multilayer map” feature stands out in the geospatial analytics world. This capability, enhanced by technology from past mapping software acquisitions and integration with geographic information system( GIS) leader Esri, allows users to build complex, layered spatial analyses. In energy, for example, an engineer can overlay geological data, production metrics and well locations, enabling insights into how sub-surface features drive performance.
Michael describes the sophistication:“ You might have geology on one layer, well locations on another, then calculate how production relates to property features.”
But these multilayer maps have applications far beyond geography. In semiconductor manufacturing, for example, map charts represent wafer patterns – vital in optimising chip yields at the nanometre scale.
“ As you build up and manufacture a wafer, you have multiple layers,
“ AI is transforming tools into conversational interfaces”
MICHAEL O’ CONNELL CHIEF ANALYTICS OFFICER, SPOTFIRE each with masking or etching patterns for circuits. You’ ve got to get those very accurate. Major manufacturers trust Spotfire for multi-layer maps, measuring overlay down to three nanometres,” Michael explains.
Data science algorithms Energy and manufacturing companies don’ t just need to see their data, but to model and predict behaviour. Spotfire delivers advanced spatial and temporal algorithms built into its platform.
“ Our strength is the ability to run data science algorithms directly on the map,” Michael notes. This includes smoothing spatial data to identify yield patterns, edge effects on semiconductor wafers, or production hotspots across oil fields.
Spatial models help users understand underlying relationships – where, for instance, a drop in oil pressure may indicate blockages before equipment fails. The platform allows the overlay of polygons to aggregate data, enabling‘ type curves’ for resource forecasting and production benchmarking.
Spotfire’ s“ point-in-polygon” methods help integrate disparate datasets – combining geological surveys with production results and well logs for decision-making clarity.
Michael emphasises the flexibility:“ We do nearest neighbour analysis, proximity modelling, buffer zones and coordinate integration. It’ s about spatial interoperability – combining different measurement types for advanced calculations.”
energydigital. com 59