Unzipping the Potential
Wearable Device Measurement Opportunities
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At the forefront
We are only beginning to tap into the vast potential of wearables and IoT.
The pure applications are limitless, but finding the right opportunities is no easy task.
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Our presentation story
Internet of
thingsWearableBig data
Open source
hardware
MobileUser
expe
rienc
eInnovation
Engi
neer
ingInfra-
structure
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Addressing B2B
By definition, wearables require a piece of hardware.
Many B2B products and services are intangible or highly confidential making the application of wearables much more challenging.
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Wearables
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Internet of things
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Embedded computing
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Data analytics
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Wearable > Big Data < Internet of Things
Data Integration
Data Architecture
Data Viz & Discovery
THINGS WITH NETWORKED SENSORS
DATA STORES
ANALYTIC ENGINES
At rest Active
Data
Models/analyses
Text
Videos Images
Human/ machine learning
Services/ cloud
Feedback and control
Commands and requests
Models /analyses
Iterate
Report statesInternal states/ external status
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Prospect profiling Customer
targeting Selective
marketing Attrition
identification Career path Employee
productivity tools
Fraud detection Anti money laundry Credit scoring
Monetizing the data
Targeted digital marketing
Client profiling Identify new
business opportunities.
Contextualization and content personalization
Brand positioning
Revenue generation
Cost savings/ optimization
Compliance & regulatory alignment
Digital marketing Client profiling Identify new
business opportunities
Risk reduction
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iBeacons
Bluetooth Low Energy (BLE) beacons are small enough to be located anywhere.
The server uses these micro-location trigger IDs to tell either the mobile device or another system to perform a contextual action designed by the business owner.
How iBeacons work The many business applications…
Ready!
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iBeacon - intelligent store lighting
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1. User chooses color preference and shopping list
2. Intelligent lighting + Beacons identify the user and turn on a spot light with the user preferred color in the shelf containing the product of choice
3. Beacons guide user inside the store
4. Preferred products are spotted by intelligent lighting on user proximity
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iBeacon experience on casino floor
Provide personalized attention on arrival
Proximity marketing and promotions
Area related content
Extend play experience to mobile devices
Reporting on occupancy and usage monitoring
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iBeacon data output
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Fraud prevention + wearables
Wearables
Big DataM
ob
ility
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iBeacons: personalized experience
IoT
Big Data
Mobility
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Resource usage dashboard
Meeti
ng
room
s
Desktops
Pri
nte
rs
Shared spaces and recreational spaces
Restaurant and coffee shops
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DIY
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Measuring light, motion, temperature and more
www.adafruit.com
MotionTemp
LocationLight
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The sensors are limitless
www.adafruit.com
Jpeg camera
Fingerprint sensor
Microphone Temperature sensor
Contact sensors
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Our example
We wanted to look at exposure to motion, and see if we could start tracking the data
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How do you set it up?
1. Get your hardware
2. Get a Google Analytics account
3. Implement some code
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Build a tool to detect motion
http://nicomiceli.com/tracking-your-home-with-google-analytics/
Cat5 or wifi
Cobbler
Motion sensors
3 Jumper wires
Breadboard
Raspberry Pi Flash card
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Register a Universal Analytics account
Get into Google Analytics
Create an account and select a property that you want to manage
You’ll get a key that you’ll need to use for the future
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Register a Universal Analytics account
You need some python code (we copied from a blog)
You need the universal key from Google
Write the code to Raspberry Pi
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Watch your data!
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What else can you do with the data?
Potential Use Cases Retail sales environment (Best Buy, Walmart, etc.) Conferences and exhibits Automotive dealerships Grocery stores (looking at traffic by product)
Raspberry Pi
Internal data source
Salesforce
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Be mindful of our duties as researchers
We will be introduced to new challenges we haven’t seen before.
http://www.businessinsider.com/senator-warns-fitbit-is-a-privacy-nightmare-2014-8
Senator Chuck Schumer
“The fact that private health data…
is being gathered by applications like Fitbit and can then be sold to third-parties without the user’s consent is a true privacy nightmare"
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In conclusion …
Unlimited applications for wearables, iBeacons and other technologies1
3 Cost effective so technology can be applied without significant capital expenditure
4 Challenges include identifying relevant use cases for B2B and addressing potential consumer privacy concerns
Finding the right opportunities for us as researchers need further development5
2 Extensive opportunities for passive measurement of consumer behavior that can be linked to survey or sales data
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