streaming and visual data discovery for the internet of things
TRANSCRIPT
Visual Data Discovery
& Streaming DataNew Technologies for Real-Time Analytics
Dan PotterVice President Product Marketing
Today’s Agenda
• Visual Data Discovery
• Rapidly Evolving Analytics Infrastructure
• Q&A
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
Premier & Expansive Customer Base
FinancialServices
HealthCare GovernmentOther
Industries
4
Gartner’s 2014 Predictions
Source: Gartner’s Predicts 2014 – Nov 2013
Major changes are imminent to the world of BI and analytics
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
Rich Array of Visualizations
Visualize Any Data at Any Speed
Stream Relational NoSQL OLAP Warehouse Hadoop Content
Connect, Federate, Visualize
Modeled and transformed for analysis
Access to Semi-Structured Data
• Extract, enrich and prepare data for analysis
• Store source documents and provide lineage
• Ad-hoc or automated
Reports & Text
HTML XBRLEDI StreamsECM DocumentsPrint Spools …
PDFs
Today’s Agenda
• Visual Data Discovery
• Rapidly Evolving Analytics Infrastructure
• Q&A
Next Generation Analytics
Database Distributed or Hybrid Database
In-MemoryDatabase
Streaming Analytics
Faster Speed, Faster Insights
Data at Rest
Traditional BI
Database Distributed or Hybrid Database
In-MemoryDatabase
Streaming Analytics
Data at Rest
Next Generation Analytics
Database Distributed or Hybrid Database
In-MemoryDatabase
Streaming Analytics
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
Where Do Event Streams Come From?
• Internet of Things
• Web clickstreams
• Machine data / log files
• Enterprise applications
• Human generated
• Commercial data
The Industrial Internet: Enabled by the convergence
of technology, machines, data and connectivity
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By 2020, the number of things connected to the internet will be approximately 7x the number of people on earth today.
BIL
LIO
NS
OF
DEV
ICES
TIMELINE
INFLECTION POINT
6.8 7.2 7.6
12.5
25
50Billion
“Smart Objects”
WORLD POPULATION
Rapid AdoptionRate of DigitalInfrastructure:5X Faster thanelectricity andtelephony
Savings and growth opportunities
across every industry
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$30Bfuel cost saving
in aviation industry
$66Bfuel cost saving in gas powered
fleets
$63Bproductivity
improvement in healthcare
$90Breduction in
Cap X in oil & gas exploration
and development
$27Bproductivity
improvement in rail industry
1% savings from efficient Industrial Internet solutions could save billions in operational costs
Return on Real-Time Visualization
Growth in New Pipeline
Increase in Cash Generated
Greater Operational Cost Reduction
Organizations utilizing real-time data visualization have outpaced all others in several key metrics
Streaming Data Visualization Examples
HealthcareLogistics
Energy
Telecom
Manufacturing
Retail
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
Real-World, Real-Time Examples
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
Design & Model
Next Generation Analytics
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Visual Discovery
Models& Reports
In-MemoryData
In the last two weeks…
“…integrating the streaming present with the analytical past to get the maximum value from your data”
- Gartner
“…real critical mass in mainstream popularity in the Big Data market”
- Gigaom
“Wow. Forrester survey data revealed a 66% increase in firms’ use of streaming analytics in the past two years.”
- Forrester
Today’s Agenda
• Visual Data Discovery
• Rapidly Evolving Analytics Infrastructure
• Q&A
Questions?
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www.datawatch.com/trial
Datawatch Corporation271 Mill Road, Quorum Office ParkChelmsford, MA 01824 USATel: +1 800.445.3311 (Toll Free US), +1 978.275.8222
[email protected] – for more information!