Interactive Telco Market Sizing and Visualization Across Layers of Disparate Data

Pannel Speakers

Learn how TELUS, a Canadian national telecommunications company, has created an interactive market sizing tool to grow subscribers and optimize network builds. TELUS’ high speed (HS) service can be provisioned over Fibre, Copper or over its mobile network. TELUS Marketing needs to have visibility over where each technology can be deployed, along with the targeting potential (number of households), and where its competitors offer similar services. Each technology type has its own coverage layers, qualification criteria and competitive restrictions, not to mention separate business units that design, implement and support the services they carry. Providing a “one stop shop” where Marketing can assess opportunity to build/grow subscribers as well as potential to improve network build prioritization, was highly desired. In rural areas where TELUS does not have the capability to offer HS over Fibre, HS over copper can be problematic in offering competitive speed plans, not to mention reliable service for customers. In these situations, TELUS offers HS over its LTE network to fixed line customers. With OmniSci, TELUS was able to build an interactive map for showing all of TELUS’ communities, along with, competitor speed information, wHSIA coverage layers, competitor cell sites, LTE coverage layers, household reference data, copper qualification, fibre eligibility, other exclusion layers, and marketable base (taking into account do not contact flags). Join Dustin Wright and Chris Havlin, data scientists at TELUS, as they explain how they created this interactive dashboard and how it’s transforming their marketing efforts.

The Forest & the Trees: Leveraging OmniSci to Support Geo-Semantic Pattern Detection in Large, Globally Distributed Data Sets

Richard Sutton

VP of Geospatial
Skyhook Uses Omnisci for Insights in its High Volume, Globally Distributed Mobile Device Datapool Over the past decade and a half Skyhook has built and patented much of the technology used for accurately positioning mobile devices. This is accomplished by mixing Wi-Fi with cell and gps signals to deliver a best hybrid solution with extremely low latency regardless of local sampling challenges. Skyhook pioneered precision location for both iOS and Android and has deployed various solutions across billions of devices in these and other OS pools. In order to remain functionally accurate a global Wi-Fi database must self-heal through active field acquisition, and this requires massive MAU/DAU/HAU activity sustained indefinitely and retained as a structured artifact across multiple years. Skyhook’s various databases, including Wi-Fi access points, cell antennas, ip detections, signal confirmed venues and individual returned device locations produce high temporally and positionally accurate samples tens of billions of times daily. This raw output is refined and fractioned into specific data products that are useful to big data consumers in multiple industries and governments. Omnisci has proven itself highly performant in managing large volumes of point-based, time- and place-anchored data in a low latency analysis environment. We will show examples in areas where GPU-resident analytics permit Skyhook to scale and leverage vast data extracts into actionable insight in areas of crowd characterization, crisis-driven population dynamics, commercial consumer behavior and system pathology detection.