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RAeS Flight Simulation Group Conference
12/13 June 2018 - London
It’s Big Data but Where Is It?
Towards an Enterprise Approach to Training
Data and Analytics
Andy Fawkes
Pixabay
A Metaphor for Your Enterprise Training Data
Marron Cheshire Restoration
• What is Big Data?
• Big Hype?
• Exploiting Big Data in Training
• Challenges
• Way Forward
Overview
MoD
Presentation has a
Defence Emphasis
What is Big Data?
“data sets that are so voluminous and
complex that traditional data-processing
application software are inadequate to
deal with them”
What is Big Data?
Wikipedia
Variety Veracity
Big Data - 4 Main Features
Pixabay
Volume Velocity
Creating Added Value at the Right Time
Big Data - Ultimately it’s…
Pixabay
Big Data
Exploiting Big Data
Analysis Human Decisions
Machine
Learning,
Neural
Networks, etc
“Training” Automation
Machine
Learning,
Neural
Networks, etc
Prescriptive Analytics
• seeks to determine the best course of action
Predictive Analytics
• identify past patterns to predict the future
Diagnostic Analytics
• used to determine why something happened
Descriptive Analytics
• what is happening now based on incoming data
Why Big Data in Analytics?
Big Hype?
1944 - Fremont Rider Research
Predicted American libraries would double their capacity every 16 years
1975 - Japan Govt. Study
One-way communication transitioning to two-way
2000 - Peter Lyman/Hal R. Varian
Estimated the world generated about 250MB per human per year
2009 - Roger E. Bohn Study
Estimated Americans consumed information for almost 12 hours per day
2018 – Hootsuite Study
Estimates that there are 4 billion people around the world using the internet
2020 – IDC Research
Predicts 54TB new information generated for every human per year
A Little History First
Gartner Hype Cycle - Emerging Technologies 2017 - Big Data?
“Big Data” as a Search Term
“We’re determined to unlock the
huge potential of big data which
could add billions of pounds to
our economy - from powering
price comparison sites to
improving the flow of transport
around cities.”
Minister of State for Digital
Matt Hancock MP
14 Sep 2017
Big Data in the Economy
Defence Information
Strategy
28 Dec 17
Defence needs to exploit the full
potential of the data it holds through
active data management, better digital
processes, and more timely and cost
effective analysis to derive maximum
value to support evidence-based
decision making.
Defence will address the ‘big data’
challenge by developing the enterprise
technologies, skills and strategic
partnerships, to allow data analytics to
be exploited by the business to make
better decisions.
Exploiting Big Data in Training
Training Data Generators
• Personnel Records
• Education Records
• Training Records
• Training System Records
What if they could be brought together?
Different Human Related Systems
Prescriptive Analytics
• eg. cost effective balance of investment in training
Predictive Analytics
• eg. linking recruitment data to pilot success rates
Diagnostic Analytics
• eg. why are failure or success rates so high?
Descriptive Analytics
• eg. linking readiness to humans and aircraft
Big Data in Training
• Enterprise
–Benefits Increase over Time as Data Builds
• Personnel
–Complete Service Record, Recruitment to Post-
Military Career
Other Benefits
Challenges
Organisational/Project Boundaries
ASDOT DCS&S
LTPA
WISTMSHTF STARSMFTS TyTanTFST
DOTC(A) F-35 iASTC
DSALT2
C17AUV
E-3
A400M C-130
P-8
MAA
Apache
Enterprise Training Data
Unconnected - Incompatible - Inaccessible
• Can government remember?
• Is it condemned to repeat mistakes?
• Or does it remember too much and so
see too many reasons why anything new
is bound to fail?
Temporal Data Management
Data Misjudgements
Google Street View
“Amazon takes privacy very seriously.
We investigated what happened and
determined this was an extremely
rare occurrence.
We are taking steps to avoid this
from happening in the future.”
Data Dangers
Pre-1697
Black Swan
Post-1697
Black Swan Event
• The event is unpredictable (to the observer)
• The event has widespread ramifications
• After the event has occurred, people will think it was explainable and predictable
Way Forward
Enterprise Training Data End Goal?
Connected - Compatible - Accessible
Pixabay
• Set Enterprise Training Data
Requirements for all Projects
and/or
• Develop/Exploit Data Integrating
Software
Enterprise Training Data
the surprises of the
future are, by definition,
not repeats of surprises
in the past
Embrace Human
Imagination
What is Your Approach to Enterprise Training Data?
Marron Cheshire Restoration
Questions?

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It’s Big Data but Where Is It?

  • 1. RAeS Flight Simulation Group Conference 12/13 June 2018 - London It’s Big Data but Where Is It? Towards an Enterprise Approach to Training Data and Analytics Andy Fawkes Pixabay
  • 2. A Metaphor for Your Enterprise Training Data Marron Cheshire Restoration
  • 3. • What is Big Data? • Big Hype? • Exploiting Big Data in Training • Challenges • Way Forward Overview
  • 5. What is Big Data?
  • 6. “data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them” What is Big Data? Wikipedia
  • 7. Variety Veracity Big Data - 4 Main Features Pixabay Volume Velocity
  • 8. Creating Added Value at the Right Time Big Data - Ultimately it’s… Pixabay
  • 9. Big Data Exploiting Big Data Analysis Human Decisions Machine Learning, Neural Networks, etc “Training” Automation Machine Learning, Neural Networks, etc
  • 10. Prescriptive Analytics • seeks to determine the best course of action Predictive Analytics • identify past patterns to predict the future Diagnostic Analytics • used to determine why something happened Descriptive Analytics • what is happening now based on incoming data Why Big Data in Analytics?
  • 12. 1944 - Fremont Rider Research Predicted American libraries would double their capacity every 16 years 1975 - Japan Govt. Study One-way communication transitioning to two-way 2000 - Peter Lyman/Hal R. Varian Estimated the world generated about 250MB per human per year 2009 - Roger E. Bohn Study Estimated Americans consumed information for almost 12 hours per day 2018 – Hootsuite Study Estimates that there are 4 billion people around the world using the internet 2020 – IDC Research Predicts 54TB new information generated for every human per year A Little History First
  • 13. Gartner Hype Cycle - Emerging Technologies 2017 - Big Data?
  • 14. “Big Data” as a Search Term
  • 15. “We’re determined to unlock the huge potential of big data which could add billions of pounds to our economy - from powering price comparison sites to improving the flow of transport around cities.” Minister of State for Digital Matt Hancock MP 14 Sep 2017 Big Data in the Economy
  • 16. Defence Information Strategy 28 Dec 17 Defence needs to exploit the full potential of the data it holds through active data management, better digital processes, and more timely and cost effective analysis to derive maximum value to support evidence-based decision making. Defence will address the ‘big data’ challenge by developing the enterprise technologies, skills and strategic partnerships, to allow data analytics to be exploited by the business to make better decisions.
  • 17. Exploiting Big Data in Training
  • 19. • Personnel Records • Education Records • Training Records • Training System Records What if they could be brought together? Different Human Related Systems
  • 20. Prescriptive Analytics • eg. cost effective balance of investment in training Predictive Analytics • eg. linking recruitment data to pilot success rates Diagnostic Analytics • eg. why are failure or success rates so high? Descriptive Analytics • eg. linking readiness to humans and aircraft Big Data in Training
  • 21. • Enterprise –Benefits Increase over Time as Data Builds • Personnel –Complete Service Record, Recruitment to Post- Military Career Other Benefits
  • 23. Organisational/Project Boundaries ASDOT DCS&S LTPA WISTMSHTF STARSMFTS TyTanTFST DOTC(A) F-35 iASTC DSALT2 C17AUV E-3 A400M C-130 P-8 MAA Apache
  • 24. Enterprise Training Data Unconnected - Incompatible - Inaccessible
  • 25. • Can government remember? • Is it condemned to repeat mistakes? • Or does it remember too much and so see too many reasons why anything new is bound to fail? Temporal Data Management
  • 27. “Amazon takes privacy very seriously. We investigated what happened and determined this was an extremely rare occurrence. We are taking steps to avoid this from happening in the future.” Data Dangers
  • 28. Pre-1697 Black Swan Post-1697 Black Swan Event • The event is unpredictable (to the observer) • The event has widespread ramifications • After the event has occurred, people will think it was explainable and predictable
  • 30. Enterprise Training Data End Goal? Connected - Compatible - Accessible Pixabay
  • 31. • Set Enterprise Training Data Requirements for all Projects and/or • Develop/Exploit Data Integrating Software Enterprise Training Data
  • 32. the surprises of the future are, by definition, not repeats of surprises in the past Embrace Human Imagination
  • 33. What is Your Approach to Enterprise Training Data? Marron Cheshire Restoration