Geographic and locational data—maps—are one of the most useful data types for contextualizing broader enterprise datasets. They turn static images of locations into multi-directional data that can be densely inter-woven with broader data assets.
In a wide variety of contexts—from a virtual tour guide to the shops in an indoor mall to a comprehensive map of urban businesses—maps provide a vital link between detailed data insight and ground-level human experience.
Maps contain an astonishing depth of information which necessitates a specialized skill set for analyzing the true complexity of location-rich data sets. This fact hinders far too many enterprises in their efforts to develop geography-rich data infrastructure.
A proven process and specialized tools are needed to efficiently capture this expansive intelligence at an enterprise scale.
A ROAD MAP TO BETTER DATA
WHAT WE DO
Map Data Collection Services
Maps Concepts and Prototypes
Map Insight Services
MAP DATA: THE Zen3 APPROACH
Fully digitized map data is everywhere. Ride-sharing, search, mass transportation, and logistics are just a few of the rapidly expanding use cases for map data that continue to define the global economy. Processing this data at scale means finding new methods for collecting and understanding essential elements of location-rich data sets — like two and three- dimensional proximity that is rarely encountered in other enterprise contexts.
What’s more? Many applications demand the capability to evaluate these factors in real time and use them to generate actionable feedback for consumer or enterprise users.
Building out the technical and personnel resources needed to establish this sort of geography-rich data pipeline can seem a Herculean task. At Zen3, we have put our data services “on the map” by supporting our clients with a proven methodology for navigating this process with aplomb, delivering a precise, high-efficiency process for building map-data pipelines of any scale with ease.
After selecting map data sources tailored to client-defined project goals, we can begin sourcing data, strategically utilizing private vendors and publicly available data sources. Once the map data has been curated and organized, full-scale analysis and annotation efforts can begin.
DISCOVERY TO INSIGHT AND MODERATION PROCESS
MAP DATA SERVICE OFFERINGS
Our end-to-end map and locational data capabilities provide enterprise-quality data while fulfilling highly unique client-established parameters. All data collection is customized in response to the specific needs of each client. From scanning physical documents to field research and scanning, we’re ready to help intake map data at any scale, at any level of complexity.
Our annotation, analysis, and labeling process mines the desired insight from raw maps, with an end result of elite quality, densely integrated data capable of training machine learning models or providing a location-rich foundation for other enterprise applications.
Even fairly simple moderation needs—like ensuring that user-submitted locations and directions don’t run afoul of content policies—require a surprisingly robust data pipeline to efficiently support. Smart automation can dramatically streamline these moderation processes, with humans brought in for subtler judgment calls wherever necessary.