My presentation on "Recent developments in data analytics and big data" at Chilli IQ - eDiscovery 2015.

1. { 42 second elevator pitch intro }
Mainframes, PDP10’s, Vax VMS, Commondore 64, Apple ][e, IBM PC
“servers”, Dialup Modems, MUX’s, Routers, Switches, Firewalls
Pre-Internet, The Internet, ISP’s, Napster, MP3, Y2K, DotCom, Web 2.0,
Virtualisation, Cloud, Containers, Microservices, WebScale, HPC, MPI /
PVM, Hadoop, Spark, Big Data, Openstack, Mesosphere
17k LinkedIn connections, 19k followers on LinkedIn 49k Twitter followers,
66,000 hours of Tech, Telecoms & Business experience, developed & gave
away the world’s tiniest Hadoop cluster & Openstack appliance virtual
machines, Cloud believer, Hackathons, and I’m a senior editor on Wikipedia

2. What’s new in Big Data
& Data Analytics..
the current rate of change is causing us to
sprint, in multiple races, at the same time..

3. 1 Putting a Value on your Data Assets
2 Digital Disruption, Big Data & Analytics
3 Skynet went live somewhere around mid 2012
CONTENTS..

4. PUTTING A VALUE ON
YOUR DATA ASSETS1

5. LEVERAGING DIGITAL
DISRUPTION & PUTTING
VALUE ON DATA TO
GAIN SIGNIFICANT
ADVANTAGE OVER
COMPETITORS

6. • CIOs
get
it,
but
other
board
members
may
not
understand
it
yet
• Big
Data
is
rarely
viewed
as
being
part
of
a
CEOs
agenda
• Value
of
Big
Data
won’t
be
understood
by
CEOs
un?l
it’s
mone?zed
• Big
Data
is
oAen
misunderstood
by
CFOs
as
a
risk
or
cost
• Mone?ze
Data
by
puFng
it
on
the
balance
sheet
as
an
Asset
• Why?
Because
the
value
of
Big
Data
is
rarely
expressed
as
a
Asset
• Value
you
Big
Data
as
an
Asset
and
treat
it
as
a
perishable
commodity
Putting a value on Big Data

7. • We’re all familiar with Physical Assets & Cash
• We’ve begrudgingly learned to manage Human Capital
• We’re still catching up with Intellectual Property
• Most of us of us have a handle on Customer Records
• Databases, Log-files, and Metadata are now on the radar
• But too few businesses value their Data as an Asset
• Yet they know information is valuable, and information is Data !!
Data is often allowed to be a Lazy Asset

8. • ROI estimations on the value in Big Data isn’t trivial
• Distinguishing cost of gathering & managing Data from cost of doing
business is difficult
• Data does not have a physical presence & can have an infinite life
• Value of Data can quickly depreciate if is able to be readily outdated
• Some Data naturally depreciates in business value over time
• Other Data gains value by being put to unforeseen commercial use
Data is a difficult Asset to classify & value

9. DIGITAL DISRUPTION,
BIG DATA & ANALYTICS2

10. ORGANISATIONS WITH
MINIMAL PHYSICAL
ASSETS HAVE GAINED
HIGH MARKET VALUE IN
RECORD TIME USING
BIG DATA ASSETS

11. • Worlds largest taxi company owns no taxis ( Uber )
• Largest accommodation provider owns no real estate ( Airbnb )
• Largest phone companies own no telco infra ( Skype, WeChat )
• Worlds most valuable retailer has no inventory ( Alibaba )
• Most popular media owner creates no content ( Facebook )
• Fastest growing banks have no actual money ( SocietyOne )
• Worlds largest movie house owns no cinemas ( NetFlix )
• Largest software vendors don’t write the apps ( Apple & Google)
The Digital Disruption Has Already Happened

12. • Don’t wait for governments or law to catch up
• A legal precedent wasn’t a precedent until someone created it
• Data governance & Data policies are a fireable offence
• Data retention laws VS Right to be forgotten
• Delete My Account does not actually mean Delete My Data
• Who owns the data & who does or should have access to it
• Data Harmonization and what it means to business & consumers
Looking the other way won’t make it go away

13. • Everybody has an A.I. in their hands
• Facial recognition is now enabled by default
• Facebook Moments / Apple iPhone / Google Photos
• Enterprise Search is something old people talk about
• Internet of Things has happened and 99% of it is not secure
• Modern aircraft have 6,000 to 10,000 IoT sensors in each wing
• 18,700 daily domestic flights in USA airspace = 43.5 PB per day
Why is Digital Disruption so different

14. A recent survey of over 700 information managers found:
• 95% don’t understanding of what big data actually is
• 50% had no
idea
how
to
prepare
for
big
data
• 20% admitted they weren’t even going to try !!
• < 5% actually had a plan ready to act on
• < 1% were actually doing something
Doing nothing is not a viable strategy

15. SKYNET WENT LIVE
AROUND MID 20123

16. ACCESS TO AND
VISIBILITY OF DATA
DATA ASSETS IS NOW
PAR FOR THE COURSE,
BOTH INSIDE AND
OUTSIDE THE FIREWALL

17. • StuxNet
• The Interview “movie”, Sony, X-Box live, Adobe.. OMG !!
• IRC Bots, Viruses, Trojans and your clients data
• Botnets can be rented by the hour and have modern API’s
• Even Siri can in fact find you in all of the following and more:
• Phone contacts, Email messages, Photos, SMS, iMessage,
Calendars, The Internet, and App data of various forms
If you can dream it up we can code it

18. • If eDiscovery & Data Management of Social Media & Emails are keeping
you awake at night, consider the following landscape challenges:
• Paper, Photos, Files, Faxes, Emails, Web Pages & PDF’s
• Windows, Mac OS X, Linux, Unix, Solaris, OS400, Mainframe
• Fat client apps, Cloud apps, PaaS & SaaS apps, data & logfiles
• Phone & Tablet platforms:
• iOS, Android, Firefox OS, Canonical, Blackbery, Sailfish, Open
Alliance, Microsoft 10 Phone OS
The landscape is shifting faster than you are

19. • Hadoop distributions & the “big data in a box” Big iron game
• Tiny hadoop appliance iTnews “lunch bet”
• Big Data on your laptop is now the norm
• Software vendors are building Big Data into their tools & platforms, from Excel
hadoop IAP’s to SAP HANA
• Bursting into public clouds for instant super computers
• One size does not fit all, and Failure is the new Black
• Big Data is what you make it, i.e. Social, Cloud, Email, Fileservers, Intranets,
Websites, The Internet, SMS’s, Bank Records, Phone logs, Human movement
Ecosystems, Clouds & Platform Computing

20. • Occams Razor is not a safe bet
• The simplest answer is not always the correct answer
• Deep Learning / Machine Learning & Big Data can now give us the tools to dive
so much deeper and look far more broadly
• 600+ public data sources and counting !!
• Platforms like Anomaly42 have changed the game for court cases
• Spreadsheets found EU$74m in fraud with manual audits
• A42 tools found EU$2.4b using big data eDiscovery
• Predicted 5 year value of EU$15b if left to manual discovery with spreadsheets
The answers are often staring you in the face

21. • If you torture data enough, it will talk, when do you stop torturing it
• You can’t have everything, where would you put it
• Just because you can’t access it, don’t assume someone else can’t
• The “dark web” isn’t just an Internet issue, Enterprise networks are a minefield
• CIA flipped their 80/20 investment rule - Spooks VS data now Data vs Spooks
• Social media has been used in anger - the USA just killed terrorists based on
data sourced in real time from social media !!
• Mettadata is a waste of time, we can now auto-classify data if we can reach it
Life, the universe and everything = 42

22. THANK YOU.
Dez Blanchfield
@dez_blanchfield
+61 414 464 356
dez.blanchfield@framegroup.com.au