Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.

1. Visual Data Discovery
& Streaming Data
New Technologies for Real-Time Analytics
Dan Potter
Vice President
Product Marketing

2. Today’s Agenda
• Visual Data Discovery
• Rapidly Evolving Analytics Infrastructure
• Q&A

3. About Datawatch
NASDAQ: DWCH
Pioneer in real-time visual data discovery
and transformation of any data
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. Premier & Expansive Customer Base
Financial
Services
HealthCare Government
Other
Industries
4

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

6. Visual Data Discovery
• Easy for users to author,
customize and share
• Interactive exploration &
visually filter results
• Quickly identify anomalies and
outliers with large or in-motion
datasets
• Enrich data with predictive
analytics (R or Python)
Recognized for innovation
with In-Memory Computing

7. Rich Array of Visualizations

8. Visualize Any Data at Any Speed
Connect, Federate, Visualize
Stream Relational NoSQL OLAP Warehouse Hadoop Content

9. Access to Semi-Structured Data
• Extract, enrich and prepare data for analysis
• Store source documents and provide lineage
• Ad-hoc or automated
Modeled and
transformed
for analysis
Reports
& Text
PDFs
HTML XBRL
EDI Streams
ECM Documents
Print Spools …

10. Today’s Agenda
• Visual Data Discovery
• Rapidly Evolving Analytics Infrastructure
• Q&A

11. Next Generation Analytics
Database Distributed or
Hybrid Database
In-Memory
Database
Streaming Analytics
Faster Speed, Faster Insights

12. Traditional BI
Data at Rest
Database Distributed or
Hybrid Database
In-Memory
Database
Streaming Analytics

13. Next Generation Analytics
Data at Rest
Database Distributed or
Hybrid Database
In-Memory
Database
Streaming Analytics

14. Next Generation Analytics
Monitor
• Continuous queries
• Immediately see
important business
events as they
occur
Analyze
• Combine/enrich
streaming with intra-day
and historic data
for deeper
understanding and
better decisions
Take Action
• Users can initiate actions
within Datawatch that
pass instructions and
context to other
enterprise applications

15. Where Do Event Streams Come From?
• Internet of Things
• Web clickstreams
• Machine data / log files
• Enterprise applications
• Human generated
• Commercial data

16. The Industrial Internet: Enabled by the convergence
of technology, machines, data and connectivity
16
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

17. Savings and growth opportunities
across every industry
17
$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

18. Return on Real-Time Visualization
Organizations utilizing real-time data visualization
have outpaced all others in several key metrics
Growth in New Pipeline
Increase in Cash Generated
Greater Operational Cost Reduction

19. Streaming Data Visualization Examples
Healthcare
Logistics
Energy
Telecom
Manufacturing
Retail

20. Real-World, Real-Time Examples
Customer Challenge
Dozens of risk management
systems generating data silos of
operational information
Server based solution to
visualize integrated risk
information in real-time to
identify trends and anomalies
Analyze patterns in physiological
data that may detect and
eventually to predict deadly
clinical events
Visualize large volumes of
streaming, unstructured data
from multiple devices in real-time
Improve yield production and
enhance machine reliability in
contact lens manufacturing
process
Flexible visualization solution
highlighting production line
yield, leading to a 2% yield
increase and 750,000 additional
units produced
Process and visualize billions of
streaming trades per day for
leading surveillance and
compliance platform
Fully embedded visual data
discovery solution that delivers a
single consolidated real-time
view of trading across venues

21. Next Generation Analytics
Design &
Model
21
Visual
Discovery
Models
& Reports
In-Memory
Data

22. In the last two weeks…
“…real critical mass in mainstream popularity in the Big
Data market”
“…integrating the streaming present with the analytical
past to get the maximum value from your data”
- Gartner
- Gigaom
“Wow. Forrester survey data revealed a 66% increase in
firms’ use of streaming analytics in the past two years.”
- Forrester

23. Today’s Agenda
• Visual Data Discovery
• Rapidly Evolving Analytics Infrastructure
• Q&A

24. Questions?
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Datawatch Corporation
271 Mill Road, Quorum Office Park
Chelmsford, MA 01824 USA
Tel: +1 800.445.3311 (Toll Free US), +1 978.275.8222
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