This document discusses the importance of location intelligence as a key consideration for IoT strategies. It begins with an introduction of the presenter and defines location intelligence as going beyond maps to include data on education, roads, traffic, weather, crime and more. Three use cases are described where location intelligence provides value. The document then revisits aspects of IoT like data collection, sensing, autonomy and connected devices to argue that location context is critical. It provides examples of how location intelligence supports supply chain optimization and retail site selection. The presentation concludes with trends in location intelligence technologies and the growth of the location data marketplace.

1. LOCATION INTELLIGENCE AS A KEY
CONSIDERATION IN YOUR IOT STRATEGY
Presented by : Kamal Ramsingh

2. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
PERSONAL INTRODUCTION
• Rapidly closing on 3 decades in the ICT sector
• Fortunate enough to have grown and monetised an ICT business
• Occupied leadership roles in large local and multi-national ICT businesses
• Institutional mentor to ICT SMME’s
• Built and deploying the Digital CIO Playbook
• Co-founder/owner of Geo Intelligence Group (includes past TomTom SA)

3. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
What is Location Intelligence?
IOT (data, autonomy, sensing to doing, types of internet)
“add a location intelligent where” – what’s the value
Why should you bother : 3 x Use Cases
Why this is more possible now than ever before …. Ovum report on
trends in Location Intelligence
Location Intelligence Market

4. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
DEFINING LOCATION INTELLIGENCE
The “where” factor … going way beyond maps
education
roads
traffic (history)
speed (average, history)
people
crops
land-cover / vegetation
earnings profiles
weather
crime
transportation
buildings
movements
water quality
soil type
indoor / outdoor
vehicle / asset tracking
mobile device locations
remote sensing
indoor mapping
spatial analytics

5. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
RELEVANCE OF LOCATION INTELLIGENCE
Current industry disruptions require location intelligence to realise their promise of value
The Internet of Things Billions of devices pumping massive volumes of X / Y / Z co-ordinates need to have added
intelligence on location, context, relative behaviour and corrective actions
Online Retailing As adoption increases so too will the pressing need for last mile logistics, reverse logistics and
time based service delivery. Location intelligence will become the backbone of fulfilment
Smart Cities From intelligent traffic management, facilities location to improving tourism and quality of
service, all smart city initiatives will derive material value from geospatial intelligence
Usage Based Insurance A growing business model in short-term insurance, UBI is premised on timely and accurate
insights both on client / asset actual behaviour as well as relative and generally acceptable
behaviour for specific locations
Dimensional Marketing The digital era has brought with it the desire and ability to track individual behaviours and
preferences to focus market and product design efforts on reducing sizes of market (sub)
segments. Location intelligence is playing a key role in understanding and analysing these
micro-segments.

6. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
REVISTING KEY ASPECTS OF IOT
All about the Data Billions of connected devices and zetabytes of data. Smart assets, buildings, facilities and
devices make “location” the logical entry point for digital strategies
Sensing to Doing From sensors to intelligence. Ambient computing to Intelligence at the edge. More localised
actions translate to more need or context via location intelligence
Autonomy is the End-game Industrial IOT is destined for machine autonomy as the end-game. Real-time location
intelligence for immediate context is critical to it’s success
Internet of Me Smartphones, Connected Cars, Wearables all add to the IOT connected device plans. All
providing dynamic location intelligence through spatial analytics and visualisation
No Sector Preference for IOT Use cases and proof of value have matured across multiple business sectors and processes.
IOT’s growth has necessitated the application of context to data

7. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
CASE STUDY 1 – SUPPLY CHAIN AND PRODUCTION
Example – Dairy Farm in Germany
- Farm to factory – milk tracked/monitored/optimised
- Every 30 minutes critical for product selection
- Traffic/vehicle location/traffic prediction – determines final
delivery point and product (yogurt/cheese/cream etc)

8. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
CASE STUDY 2 – RETAIL INSIGHT
Example – The Shopping Centre Group
- TSCG Increases Revenue 30 Percent in Three Years
- Key to success is giving clients the best local market knowledge
- TSCG delivers accurate psychographic data and spatial analysis
- Clients can quickly understand markets and seize opportunities
- Know Where Customers Live, Work, and Shop
- Understand Why Purchases Happen Where They Do
- Determine the Best Store Locations - Forecast profitable sites based on competitive
presence, potential customer demographics, access to supply chains, and more
- 28 mappers on staff—a 1:4 ratio of mappers to brokers, unheard of in industry
- Location data allows retail strategists to highlight specific customer profiles and analyze
how those consumers physically move throughout the day which affects a specific trade
area.

9. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
CASE STUDY 3 – SMART CITIES

10. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
LOCATION INTELLIGENCE MARKET
Indoor Mapping AS Important Multiple failed attempts and mainstream indoor mapping. Use cases are now highly prevalent
and supportive of autonomous vehicles, retail IOT and asset tracking
Advanced Mapping is Key HD and 3D maps to support Highly Automated Driving (HAD) and autonomous vehicles enrich
data sets for Advanced Mapping
Aerial Mapping is Taking Off Driven by drone applications – remote sensing is back and growing as a source of input for
spatial analytics
AI Assistants as Interface Rise of AI assistants for orchestration of personalised services – key interface for mapping and
navigation
Rise of Data Marketplace Huge demand for location intelligence and mapping data will see the rise of data marketplace
to trade and / or monetise location data assets
Source: Ovum 1H18 Location Platform Index
Mobility Services Integrate Point applications grow to multi-mode transport solutions – mobility-as-a-service (MaaS)
propositions

11. LOCATION INTELLIGENCE AS A KEY CONSIDERATION IN YOUR IOT STRATEGY
THANK YOU
KAMAL RAMSINGH
kramsingh@mapit.co.za
@cioanywhere
ETIENNE LOUW
elouw@mapit.co.za
@enlouw