1.
How the Internet of Things is going
to change your product roadmap.
Sean Gately
Datawatch OEM

2.
Today’s Agenda
• Internet of Things Landscape
• How Smart Data changes the product landscape
• Why Your application needs to get smarter
• What Challenges you need to overcome to use IOT
• How to be a super-data hero to your clients

3.
About Datawatch
Visual Data Discovery enabling more meaningful and timely decisions for next generation analytics.
NASDAQ: DWCH
Pioneer in real-time visual data discovery
and data preparation
Global operations and support
§ US, UK, Germany, France, Australia,
Singapore, Philippines
Extensive global customer base
§ 99 of the Fortune 100
§ 12 of the 15 largest financial institutions
Resold and embedded by leading vendors

4.
The Internet of Things
The network of physical objects
accessed through the Internet,
as defined by technology
analysts and visionaries. These
objects contain embedded
technology to interact with
internal states or the external
environment.

5.
Where will your data come from?
Internet of Things
Web clickstreams
Machine data / log files
Enterprise applications
Human generated
Commercial data

6.
IoT: Industrial & Consumer
Industrial &
Commercial Consumer

7.
What is The Internet of things really?
Lots of Smart Connected Data
Fragmented
“Data Objects”
Seemingly
disparate data
from multiple
sources to create a
clearer picture

8.
Mosaic Source Product Camp SoCal Photos

9.
Legacy Things vs. Data Smart IOT Things

10.
The Next Wave of Business Transformation
Analytics have been transformative in wide areas of
customer and product service. Sensor enabled
industrial analytic applications are the next frontier.
Source: Industrial Analytics: The Next Wave of Business Transformation
Gartner, March 2014

11.
The Industrial Internet: Enabled by the convergence
of technology, machines, data and connectivity
11
By 2020, the number of things connected to the internet will be
approximately 7x the number of people on earth today.
BILLIONS OF DEVICES
25
TIMELINE
INFLECTION
POINT
12.5
6.8 7.2 7.6
50Billion
“Smart Objects”
WORLD POPULATION
Rapid Adoption
Rate of Digital
Infrastructure:
5X Faster than
electricity and
telephony

12.
Smart Machines
13
This is what people thought when we said smart machines
6 Billion
“Smart Phones”
By 2020
“I believe that at the end of the century the use of words and the
general educated opinion will have altered so much that one will be
able to speak of machines thinking without expecting to be
contradicted.”
Alan Turing, 1937

13.
A Very Smart Drill.
• Accelerometer aware drill
bits for horizontal drilling
• Logging while drilling
• Better use of collected data
while drilling
• Modeling from data
• Oil production increased
200-300 percent

14.
Machines are getting Smarter

15.
Let’s Zoom In – IOT is Evolving now.
• Utilize non traditional smart
data.
• Create an attractive user
experience with data.
• Create a flexible platform to
share data.
• Prescribe Information.

16.
Smart Data is Changing Industry Now
17
Aviation
fuel cost saving
in aviation
industry
Building
fuel cost saving
in gas powered fleets
Health
productivity
improvement in
healthcare
Industry
reduction in
Cap X in oil & gas
exploration and
development
Travel
productivity
improvement in
rail industry
Smart “things” are changing every industry

17.
Real Potential to Innovate
18
Innovation is taking two things that already exist and
putting them together in a new way.
Tom Freston

18.
Savings and growth opportunities
across every industry
19
$30B
fuel cost saving
in aviation
industry
$66B
fuel cost saving
in gas powered
fleets
$63B
productivity
improvement in
healthcare
$90B
reduction in
Cap X in oil &
gas exploration
and
development
$27B
productivity
improvement in
rail industry
1% savings from efficient Industrial Internet solutions could
save billions in operational costs

19.
20
Your legacy applications will need to get smarter to maximize
IOT data.
Client Server
Data driven
Form Orientated
Data Entry
Single Data Source
Web 2.0
Embedded Widgets,
Workflow Driven
Multiple Data Sources
Application Integration
Web 3.0
IOT Data
Predictive Qualities
Prescriptive Qualities
Multi-Connected Environment
Platform

20.
21
Your legacy applications will need to get smarter to maximize
IOT data.
Client Server
Data driven
Form Orientated
Data Entry
Single Data Source
Web 2.0
Embedded Widgets,
Workflow Driven
Multiple Data Sources
Application Integration
Web 3.0
IOT Data
Predictive Qualities
Prescriptive Qualities
Multi-Connected Environment
Platform

21.
22
Your legacy applications will need to get smarter to maximize
IOT data.
Client Server
Data driven
Form Orientated
Data Entry
Single Data Source
Web 2.0
Embedded Widgets,
Workflow Driven
Multiple Data Sources
Application Integration
Web 3.0
IOT Data
Predictive Qualities
Prescriptive Qualities
Multi-Connected Environment
Platform

22.
23
Your legacy applications will need to get smarter to maximize
IOT data.
Client Server
Data driven
Form Orientated
Data Entry
Single Data Source
Web 2.0
Embedded Widgets,
Workflow Driven
Multiple Data Sources
Application Integration
Web 3.0
IOT Data
Predictive Qualities
Prescriptive Qualities
Multi-Connected Environment
Platform

23.
24
“It marks the transition into a new phase of the Web, where we stop searching and
start finding.”
“The Semantic Web is not a separate
Web but an extension of the current
one, in which information is given well-defined
meaning, better enabling
computers and people to work in
cooperation.”
Tim Berners-Lee

24.
25
“It marks the transition into a new phase of the Web, where we stop searching and
start finding.”
2.0
3.0

25.
26
IOT is People
Crowdsourcing Malaria Diagnosis
“It marks the transition into a new phase of the Web, where we stop searching and
start finding.”

26.
Cloud Apps Show us a glimpse.
• Often Platforms.
• More likely to integrate
information.
• Prescribe
Recommendations.
• They Learn user patterns.
• Use Application data to
display information.
• Break down the sharing
barrier. (Login with…)

27.
6 Ways to prepare your product for IOT
Embrace the Web
Prepare to be flexible with data
Utilize in motion and legacy data
Think about compelling visual user experiences
Allow the user to discover their own data trends
Suggest potential outcomes

28.
General challenges to overcome with IOT
Why, How, When, Who
Privacy Security Big Data Infrastructure Adoption Development

29.
Internal Challenges to Overcome
Challenges, Time to Market
Data Blue Print Infrastructure Creating a Great Product

30.
External Challenges to Overcome
Time to Market, Successful Offering
Marketing Ecosystem Adoption Agility To Change

31.
32
Errors can Happen (Fictional Example 1)
Target knows your teenage daughter is pregnant before you do!
Guest ID Number
Credit Card
Name & Email
Data from
Machine Data
Analysis of Data
Compared with
Pregnant buyers
Baby Coupons
“My daughter got this in the
mail!” he said. “She’s still in high
school, and you’re sending her
coupons for baby clothes and
cribs? Are you trying to
encourage her to get
pregnant?”
“I had a talk with my daughter,”
“It turns out there’s been some
activities in my house I haven’t
been completely aware of. She’s
due in August. I owe you an
apology.”
Unknown Man

32.
With Challenges comes rewards
33
$30B
fuel cost saving
in aviation
industry
$66B
fuel cost saving
in gas powered
fleets
$63B
productivity
improvement in
healthcare
$90B
reduction in
Cap X in oil &
gas exploration
and
development
$27B
productivity
improvement in
rail industry
1% savings from efficient Industrial Internet solutions could
save billions in operational costs

33.
How to be a Data Super Hero for your clients

34.
6 Requirements of a Data Superhero
With Great (IOT) Data Comes Great Responsibility
Prepare for Real Time Data
Create a compelling data user experience
Predict and Prescribe outcomes
Make it easy for them
Think Automation.

35.
Gartner’s 2014 Predictions
Major changes are imminent to the world of BI and analytics
Source: Gartner’s Predicts 2014 – Nov 2013

36.
SEAN_GATELY@DATAWATCH.COM
linkedin.com/in/sgately
@SeanGately11