Solving Problems

for Billions

Solutions for Mobile Network Operators

A Global Shift

The world is undergoing a major shift, from mobile connectivity to smart services. The way we live has changed, and we have new expectations. People now expect services rather than products; smart rather than standard; on-demand rather than scheduled; and local rather than global. To meet these expectations, location matters. Location data, to be specific.

Growth Market

The global market for services provided from personal-location data will be over $600 billion, according to a report from McKinsey. [1] Despite this shift, Mobile Network Operators (MNO) are seeing declining ARPU, and global subscriber revenue is set to decline in 2018, for the first time in the history of mobile networks.[2]

Data is the new Oil

MNOs can capture this value by unlocking the value of their location data, providing valuable data products and services in new growth markets. The MNOs have the resources to power insights behind personalized, smart, and on-demand services.

Transportation and Urban Planning

The next 5 years will bring more change to transportation planning than the previous 50 years. Old methods will be replaced: surveys, census counts, physical traffic counters. New technology provides a better, faster, less expensive option. We can now offer answers based on millions of subscribers, billions of CDRs, cutting-edge machine learning models, and analytic techniques.

Wherehouse Centroid™

Wherehouse Centroid™ offers MNOs the technology to support transportation and urban planning customers. Create data products and services in any market, with any location data source. Our proprietary technology was developed for CDR and LBS data streams. The Wherehouse Centroid™ solution offers a fast, accurate, and scalable platform to fulfill the needs of transportation planners around the world. Unlock the value of your data and provide industry-best results with our technology.

Subscriber Identity

Home detection
Work detection
Favorite places
Daily routines

Volume Counts

Activity monitoring
Hotspot detection
Demographic breakdown

OD Matrices

Staypoints based
Regional coverage
Survey validation
Any time period

Mode Choice

Private vehicles
Public transport
Mode share

Route Choice

Road counts
Link analysis
Traffic prediction

LBS Data Support

High volume
Real-time analysis
Venue-level accuracy

Developer API

Low level access
Flexible parameters
Extendable