GlobeOSS
Geospatial Data Science

Driving better business through geospatial data analytics.

Image by Xiang Ji

Geospatial Data Science will be able to help business in many ways. Analysing spatial data is critical to business.

GlobeOSS many years of experience in deploying geospatial analytics for Telcos and we believe that we can do the same for many other industries. We enable you to store, enrich, analyze and visualize your spatial data @ scale.

Image by Josh Couch

Geospatial Data Science
Use Cases

58.jpg

Site Selection

Site selection can be used for opening, closing, repurposing, or relocating sites. Using spatial data science techniques, GlobeOSS can help our customers to effectively carry out market analysis to drive decisions. We use the existing internal data sets and external data sets. 

57.jpg

Out of Home Analytics

OOH analytics can be used by OOH companies & agencies to turn location analytics to pinpoint audiences to have better ROI. Some of the potential uses cases will campaign audience identification, ROI increase for brands, and micro segmentation for hypertargeting.

63.jpg

Fraud Detection

Geospatial Data Science can help in understanding of the spatial context of fraudulent insurance claims or financial transactions by identifying and predicting patterns. Some use cases will be to identify anomalies faster, data streams overlay to identify fraud etc.

66.jpg

IOT and Smart Cities

Geospatial analytics can ingest sensor data from cities, such as waste management, street lighting, public transport etc. This will improve the citizen’s experience.

69.jpg

Teritorry Planning

Geospatial analytics will enable our customers to optimize the field sales & service performance – designing and balancing the sales territories with sales representative productivity, reduce field cost and fleet operational cost.

70.jpg

Geo-marketing

Geo-marketing can be used for planning and measuring the effectiveness of Out of Home (OOH) or Mobile Advertising campaigns. This is done using offline data to understand the consumer behavior. Customer segmentation is also possible with this technique – identify your audiences on the map that will shape your marketing strategies – right message, right audience, right time and right place.

61.jpg

Catastrophe Modelling

This model can be used by insurers used for climate related data streams to effective use of their capital – from managing disaster assessment to maximizing control over policy selection in their services portfolio.

64.jpg

Healthcare

Geospatial data science can be used for disease prevention and clinic site selection. Example use case will be healthcare factor analysis, medical site selection and disease surveillance & prediction.

68.jpg

Mobility Planning

Geospatial enables better infrastructure decisions to reduce traffic congestions and speed up incident response for the city, through location driven solutions. Example use case is like reducing traffic congestion, better insights on commuting patterns and faster incident response.

41.jpg

Supply Chain Optimization

Geospatial Data Science can help in reducing cost and improving the visibility. Spatially optimized supply chain solutions and routing optimization is fundamental to fulfill today’s increasing expectation of sophisticated consumers. Example use cases are Route Optimization, Last-Mile Logistics dan Demand Modeling.

67.jpg

Data Monetization

Data monetization is an alternative source of income for many companies. Some example use cases will be retail location insights, mobile events data monetization etc.

63.jpg

Indoor Mapping

Indoor location intelligence can be used to accelerate revenue, boost operational efficiency and improve customer experience, using data source from WIFI, beacon and GPS data.

Untitled design (90)_edited.jpg

Network Planning

Geospatial data science helps in optimizing telco and utility networks, overlaying with the right mix of products and services. Some use case will be network operations and maintenance, engineering planning and marketing & sales.