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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4

3

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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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