Sep 23–26, 2019
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Enabling 5G use cases through location intelligence

Tim McKenzie (Pitney Bowes)
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 12/13

Who is this presentation for?

  • Data scientists, business analysts, product managers, and marketing directors

Level

Beginner

Description

5G technology requires deployment of small-cell technology at high density. Location intelligence helps to identify areas that may be underserved for high-speed internet from existing cable providers and that also may be targets for rollout of 5G high-speed internet services. By understanding the current population of subscribers for other services, offers can be targeted at the groups who are most likely to increase their subscription package to include the new services.

Tim McKenzie walks you through the use of address data linked through a unique key to property attributes, social data, and demographics, which can start to build up a picture of areas to target. In some cases, the location of devices can be used to refine address data and pinpoint the relevant property parcels. In addition to offering new services in line with 5G, telco companies also can look to monetize data holdings through aggregating consumer data. Enrichment of mobile data to understand customer journey start and end points and commute paths in the context of user characteristics such as demographics then allows new value-added datasets to be produced. The ad tech industry can look in more detail at customer profiles to understand how to maximize advertising placement.

What you'll learn

  • Learn how location intelligence can be used to organize and analyze data as it relates to 5G networks
  • Discover how geocoding and spatial processing can be use enrich consumer data and to determine who to offer new services to
Photo of Tim McKenzie

Tim McKenzie

Pitney Bowes

Tim McKenzie is general manager of big data solutions at Pitney Bowes, where he leads a global team dedicated to helping clients unlock the value hidden in the massive amounts of data collected about customers, infrastructure, and products. With over 17 years of experience engaging with customers about technology, Tim has a proven track record of delivering value in every engagement.

  • Cloudera
  • O'Reilly
  • Google Cloud
  • IBM
  • Cisco
  • Dataiku
  • Intel
  • Io-Tahoe
  • MemSQL
  • Microsoft Azure
  • Oracle Cloud Infrastructure
  • SAS
  • Arcadia Data
  • BMC Software
  • Hazelcast
  • SAP
  • Amazon Web Services
  • Anaconda
  • Esri
  • Infoworks.io, Inc.
  • Kyligence
  • Pitney Bowes
  • Talend
  • Google Cloud
  • Confluent
  • DataStax
  • Dremio
  • Immuta
  • Impetus Technologies Inc.
  • Keyence
  • Kyvos Insights
  • StreamSets
  • Striim
  • Syncsort
  • SK holdings C&C

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