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Big Data
Association of Strategic Alliance Professionals
Ontario Chapter
Eric Meger
eric.meger@maerospace.com
May 19, 2016
Big Data
Where are we today? Myths of Big Data Role of Alliances Our Story
Ode to Big Data..
Upon this gifted age, in its dark hour,
rains from the sky a meteoric shower
of facts...they lie, unquestioned, uncombined.
Wisdom enough to leach us of our ill
is daily spun; but there exists no loom
to weave it into a fabric.
--Vincent Millay
Update from 2013
Google Trends – Searches for “Internet of Things”
2013 Talk
Drivers
• Social Media
• Mobile growth
• IoT
• Cloud computing
• 2015 Venture Boom
– 340 New IoT Deals
– 50 Space deals
90%
10%
Global Data
IBM. http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html
Data collected
since my last talk
This is what exponential growth feels like
A QUICK REVIEW
Three V’s of Big Data
The 4th V
Why it matters
Exponential Growth!
Myth # 1
• Big Data is just:
Continuation of Moore’s Law
or
A way to market Business Intelligence software
Six disruptive forces at once!
Core Drivers are the real revolution
Generate
Data
• Social Media
• Smart Sensors
Networked
Data
• Wireless
(4G and satellite)
Analyze
the Data
• Cloud Computing
• Mobile apps
• Hybrid data
warehousing
Driving
Forces
Myth #2
Big Data = Hadoop
Hadoop is the hot ticket to unstructured data, but…
• Complex deployment
• Security Concerns due to complexity
• Vulnerable By Nature – based on JAVA
• Significant execution overhead
• Real-time not possible
• Will Hadoop be the yahoo or google of big data?
Myth #2
Data Lakes Are the Next Solution
Only a Metaphor
You still have to find
the right pint of water
in the lake and see if
it’s drinkableAnd then a
miracle happens…
https://www.digitalnewsasia.com/business/forget-data-warehousing-its-data-lakes-now
Myth # 3
Big Data is All Data Combined
http://hortonworks.com/blog/7-key-drivers-for-the-big-data-market/
People as SourcesThings as Sources
Our
focus
The focus
of the big
players
SO WHAT SO WHAT DOES IT ALL MEAN?
IT Chaos for 5-7 years
Light at the end
of the
tunnel…
• Hybrid Cloud computing will be ubiquitous
• All databases will handle unstructured data
• Price war in wireless will become trench warfare
• Everything will be compatible with mobility
• Big Data will still be growing …
but the world will be able to handle it
I stand by my
predictions
Alliance Flavors
Capabilities
Or
Technologies
Market Access
RETHINK THE STRATEGIC SITUATION
First find the right question!
Customers
CompetitionTechnology
What new insights
could be created with
new information about
customers?
How could competitor
capture our customers
if they had unlimited
information?
How do we integrate
all four technology
groups to create new
value? Wireless, Cloud,
Database and
Social/Sensors
Where do we
need help ?
Capability Gaps  Alliance Opportunity
New
Data
bases
Social
Media
Analytics
Wireless
&
Satellite
Hybrid
Clouds
Mobility
Choose the right flavor…
Strategic
Alliance
Joint
Ventures
Minority
Equity
Deals
Tech or
Ops
sharing
Agreement
Strategic Alliances
• Close relationships
with well-defined
roles with operational
mutual interest
• NOT a transaction
• NOT a purchase or
sale mechanism
Chemistry
Strategy
Operations
Alliances require focus
• Working through Chaos requires commitment, good will and
patience
• Payoff : Opportunity & Competitive Advantage
• Build good relationships and nurture them
– ASAP Best Practices
OUR STORY…
90 % of all world trade
CONTAINERS
OIL
COAL
STEEL
GRAIN
Search and Rescue
Our
VISION
TIMECASTER – SOLVING THE BIG DATA CHALLENGES IN
MARITIME
32
Feed to
existing systems
(pos. & anomalies)
TIMECASTER™ (V1 INFOFACTORY NOW OPERATIONAL)
Secure & Segregated
Data and Processing
24 x 7
Support
Customer’s
Existing Data
Feeds:
AIS
S-AIS
LRIT
…others
[Compliant with
existing
licenses]
Maerospace
Info Factory
email, SMS
anomaly alerts
Web Interface
Web Interface
How it works…
Located in Canada
[Option for in-country or enterprise implementations]
STRATEGIC ALLIANCES ARE KEY TO OUR
STRATEGY
VC-Backed
tracking company
DIRECT SALES
+ Def/Intel Leader
Financial Info
Services leader
TBD in 2016
Fleet
Owners
Defense
Intelligence
Financial
Market
Logistics
Market
Viewer & opt.
adv. features
Def. Threat
Assessment &
Viewer
Optical
imagery, dB,
access & billing
platform
Fixture, rate
and
destination
data
On-Board RF
Container Sol’n
Intel & Threat
Detection
Government
Fleets
Financial
Logistics
?
?
Maerospace
CAPABILITIES MARKET ACCESS
Closing Thoughts
Finding the right questions is a
LOT harder that just collecting
and processing data
Leadership means looking for
the meaning behind the dataf
“It's tough to make predictions,
especially about the future.”

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Big data asap 2016 v1

  • 1. Big Data Association of Strategic Alliance Professionals Ontario Chapter Eric Meger eric.meger@maerospace.com May 19, 2016 Big Data Where are we today? Myths of Big Data Role of Alliances Our Story
  • 2. Ode to Big Data.. Upon this gifted age, in its dark hour, rains from the sky a meteoric shower of facts...they lie, unquestioned, uncombined. Wisdom enough to leach us of our ill is daily spun; but there exists no loom to weave it into a fabric. --Vincent Millay
  • 4. Google Trends – Searches for “Internet of Things” 2013 Talk
  • 5. Drivers • Social Media • Mobile growth • IoT • Cloud computing • 2015 Venture Boom – 340 New IoT Deals – 50 Space deals 90% 10% Global Data IBM. http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html Data collected since my last talk This is what exponential growth feels like
  • 7. Three V’s of Big Data The 4th V
  • 10.
  • 11. Myth # 1 • Big Data is just: Continuation of Moore’s Law or A way to market Business Intelligence software
  • 12. Six disruptive forces at once! Core Drivers are the real revolution Generate Data • Social Media • Smart Sensors Networked Data • Wireless (4G and satellite) Analyze the Data • Cloud Computing • Mobile apps • Hybrid data warehousing Driving Forces
  • 13. Myth #2 Big Data = Hadoop Hadoop is the hot ticket to unstructured data, but… • Complex deployment • Security Concerns due to complexity • Vulnerable By Nature – based on JAVA • Significant execution overhead • Real-time not possible • Will Hadoop be the yahoo or google of big data?
  • 14. Myth #2 Data Lakes Are the Next Solution Only a Metaphor You still have to find the right pint of water in the lake and see if it’s drinkableAnd then a miracle happens… https://www.digitalnewsasia.com/business/forget-data-warehousing-its-data-lakes-now
  • 15. Myth # 3 Big Data is All Data Combined http://hortonworks.com/blog/7-key-drivers-for-the-big-data-market/ People as SourcesThings as Sources Our focus The focus of the big players
  • 16. SO WHAT SO WHAT DOES IT ALL MEAN?
  • 17. IT Chaos for 5-7 years
  • 18. Light at the end of the tunnel… • Hybrid Cloud computing will be ubiquitous • All databases will handle unstructured data • Price war in wireless will become trench warfare • Everything will be compatible with mobility • Big Data will still be growing … but the world will be able to handle it I stand by my predictions
  • 19.
  • 21. RETHINK THE STRATEGIC SITUATION First find the right question! Customers CompetitionTechnology What new insights could be created with new information about customers? How could competitor capture our customers if they had unlimited information? How do we integrate all four technology groups to create new value? Wireless, Cloud, Database and Social/Sensors Where do we need help ?
  • 22. Capability Gaps  Alliance Opportunity New Data bases Social Media Analytics Wireless & Satellite Hybrid Clouds Mobility
  • 23. Choose the right flavor… Strategic Alliance Joint Ventures Minority Equity Deals Tech or Ops sharing Agreement
  • 24. Strategic Alliances • Close relationships with well-defined roles with operational mutual interest • NOT a transaction • NOT a purchase or sale mechanism Chemistry Strategy Operations
  • 25. Alliances require focus • Working through Chaos requires commitment, good will and patience • Payoff : Opportunity & Competitive Advantage • Build good relationships and nurture them – ASAP Best Practices
  • 27. 90 % of all world trade CONTAINERS OIL COAL STEEL GRAIN
  • 28.
  • 29.
  • 32. TIMECASTER – SOLVING THE BIG DATA CHALLENGES IN MARITIME 32
  • 33. Feed to existing systems (pos. & anomalies) TIMECASTER™ (V1 INFOFACTORY NOW OPERATIONAL) Secure & Segregated Data and Processing 24 x 7 Support Customer’s Existing Data Feeds: AIS S-AIS LRIT …others [Compliant with existing licenses] Maerospace Info Factory email, SMS anomaly alerts Web Interface Web Interface How it works… Located in Canada [Option for in-country or enterprise implementations]
  • 34. STRATEGIC ALLIANCES ARE KEY TO OUR STRATEGY VC-Backed tracking company DIRECT SALES + Def/Intel Leader Financial Info Services leader TBD in 2016 Fleet Owners Defense Intelligence Financial Market Logistics Market Viewer & opt. adv. features Def. Threat Assessment & Viewer Optical imagery, dB, access & billing platform Fixture, rate and destination data On-Board RF Container Sol’n Intel & Threat Detection Government Fleets Financial Logistics ? ? Maerospace CAPABILITIES MARKET ACCESS
  • 35. Closing Thoughts Finding the right questions is a LOT harder that just collecting and processing data Leadership means looking for the meaning behind the dataf
  • 36. “It's tough to make predictions, especially about the future.”

Editor's Notes

  1. Thank you Brian for that kind introduction. I am really pleased to be here to talk about Big Data and Strategic Alliances. While I have been working with Strategic Alliances since the early 1990’s, Big Data is, of course a new phenomenon. I began dealing with Big Data at exactEarth a few years ago where we built a satellite system that is today collecting 5-10 million messages a day from 85,000 ships worldwide. I’ll talk a little about that toward the end of my talk. But first, let’s look at the first assumption that I just made – namely, that Big Data is a new phenomenon.
  2. Big Data has been with us for a long time – so why is it so hot now. That’s what we will examine tonight. I looked for something to capture the enthusiasm we see today for big data and I found this poem It conveys the overwhelming sense of opportunity and challenge felt in the industry today. But… it was published in 1939!
  3. Tonight I’ll talk about these things. At the end I’ll tell a story of how I have been dealing with these issues and opportunities over the past few year. First, where is all this big data coming from?
  4. These are QUALITATIVE changes. There are NEW kinds of data from NEW networks and NEW sources/operators of Applications