ADEC Group is an international consulting firm founded in 1998 with over 5,500 associates worldwide. They provide customized outsourcing and managed services solutions utilizing big data and innovative technologies. Their big data services include processing over 1,507 environmental databases totaling over 70 terabytes of maps and tables containing over 1 billion attributes. They have a team of over 70 data analysts and 30 technology professionals processing up to 64 gigabytes of data per second to develop applications and solutions for clients.
2. ADEC GROUP: Worldwide Experience
Philippines
California
New York
Connecticut
Singapore
Malaysia
Kenya
Xiamen
Hong Kong
Beijing
HarbinUK
Australia
Founded in 1998. 5500+ associates.
3. OurVision
We are a generational enterprise bringing success to our
customers, stakeholders, and employees.
!
Mission
To promote excellence by cultivating high performance employees,
using innovative processes and creative technology that brings
value to our customers.
4. Service Portfolio
Committed to transforming our clients’ capabilities
through innovative, efficiency-driving initiatives.
CUSTOMIZED
GLOBAL
OUTSOURCING
ONSHORE
MANAGED
SERVICES &
OFFSHORE
SCALABILITY
SUSTAINABILITY &
ENERGY
MANAGEMENT
SOLUTIONS
EDUCATIONAL &
LEARNING
MANAGEMENT
SOLUTIONS
PHARMACEUTICAL
& HEALTHCARE
KPO SOLUTIONS
ENVIRONMENTAL
RISK
MANAGEMENT
SOLUTIONS
5. !
Big Data can be characterised
as amount of digital data that
is uncomfortable to store,
transport or analyse
7. 43 ZETTABYTES
(43 Trillion Gigabytes) of data will be created by
2020, an increased of 300 times from 2005
6 BILLION
PEOPLE
have cell phones
WORLD
POPULATION:
7 Billion
It’s estimated that
2.5
QUINTILLION
BYTES
(2.3Trillion
Gigabytes) of data
are created each day
Volume
Scale of Data
Most companies in
the U.S. have at least
100
TERABYTES
(100,000 Gigabyte)
of data stored
8. Variety
Different
Forms of Data
As of 2011, the global
size of data in
healthcare was
estimated to be
150 EXABYTES
(161Billion
Gigabytes)
By 2014, it’s anticipated there will be
420 MILLION WEARABLE,
WIRELESS HEALTH MONITORS
4 BILLION+
HOURS OF VIDEO
are watched onYouTube
each month
4 MILLION
TWEETS
are sent per day by
about 200 million
monthly active users
30 BILLION PIECES
OF CONTENT
are shared on Facebook
every month
9. Veracity
Uncertainty
of Data
1 IN 3 BUSINESS
LEADERS
don’t trust the information
they use to make decisions
?
27%
OF RESPONDENTS
in one survey were unsure of how much
of their data was inaccurate
Poor data quality cost the
U.S. economy around
$3.1
TRILLION
A YEAR
10. Velocity
Analysis of
Streaming Data
The NewYork Stock Exchange captures
1 TB OF TRADE INFORMATION
during each trading session
By 2016, it is projected there will be
18.9 BILLION NETWORK
CONNECTIONS
- almost 2.5 connections per person on earth
Modern cars have close to
100 SENSORS
that monitor items such as
fuel level and tire pressure
11. The amount of data
generated on planet
earth is growing
exponentially
010101010101010101
101010101010101010
010101010101010101
101010101010101010
010101010101010101
101010101010101010
12. 0x
10x
20x
30x
40x
50x
2012 2013 2014 2015 2016 2017 2018 2019 2020
By 2020The total amount of stored
data is expected to be...
50x
larger than today
In 2014 the amount of information stored worldwide
exceeded 5 ZetaBytes
*Zettabyte = 35,000,000,000,000,000,000,000 bytes
13. Tokyo
San Francisco
By 2016 The cumulative size of all the worlds
data centre is expected to exceed...
16,000acres
Equivalent in area to a two lane highway stretching
fromTokyo to San Francisco.
5,000miles
15. Social Media
Telemedicine &
Health Care Security &
Surveillance
M2M and Wireless
Sensor Network
Smart Homes & Cities
Embedded Mobile
Agriculture Automation
Vehicle, Person, & Pet
Monitoring & Controlling Building Management
Everyday Things
Satellite/GPS
Internet
16. The Internet of Things (IoT) is the third
revolution in mass internet connectivity, it
is currently where the World Wide Web
was in 1994
The Internet of Things (IoT), which excludes PCs, tablets and
smartphones, will grow to 26 billion units installed in 2020
representing an almost 30-fold increase from 0.9 billion in 2009,
according to Gartner
17. NEXT WAVE
INTERNET OF EVERYTHING
“Fixed” Computing
(You go to device)
Mobility / BYOD
(The device goes with you)
Internet of Things
(Age of devices)
Internet of Everything
(People, Process, Data,Things)
Doubled every
1.3 years
200M
1994
Doubled every
1.34 years
Doubled every
(?) years
10B
50B
2000 2012 2020
18. How much of the vast
amounts of data do we
analyse ?
20. 1.0
Traditional Analytics
2.0
Big Data
3.0
Fast Business Impact
for the Data Company
Big Data and Analytics
Gartner predicts that analytics 3.0 (Smart Analytics) will
create 4.4 million jobs by 2015. Only 30% can be filled in
a $2.12 billion global analytics industry.
22. Big Data and Analytics
“Things that spin”
How GE adopted a big data approach:
$2B initiative in software and analytics
Primary focus on data-based products and services
from “Things that spin”
Will reshape service agreements for locomotives,
jet engines, and turbines
Gas blade monitoring in turbines produces
588 gigabytes/day — 7 times Twitter daily volume
24. 0M 60M
30M
REAL ESTATE DATA
0M 30M
15M
ON SHORE DATA
0M 40M
20M
CLINICAL TRIAL DATA
0M 20M
10M
ENERGY AND
ENVIRONMENTAL DATA
0B 10B
5B
ENVIRONMENTAL RISK
MANAGEMENT DATA
0M 20M
10M
THE FUTURE OF
LEARNING
Billion’s transactions month
Unlike traditional BPO operations we have
always focused on Processing of Data
30. WITH OVER 70 DATA
ANALYSTS WORKING 24/6
OVER 30 TECHNOLOGY &
BUSINESS PROFESSIONALS
ON A TWO YEAR MISSION
TO REDEFINE HOW
ENVIRONMENTAL DATA
IS DELIVERED
31. OVER 70TB
of MAPS
OVER 45
MAP LAYERS
!
WITH TABLES >
Files contain > 1Billion attributes
multiplied by 50 states in US
OVER 1,507SOURCE DATABASES
64GB
DATA THROUGHPUT AS HIGH AS
10MB DATA PER SECOND.
45. Summary
• Understand the data and how to process it before you venture into
Big Data
• Be prepared to invest in a large learning curve in big data
technologies
• Understand how scalable technologies you choose are (i.e. vertically
scalable vs. horizontally and vertically scalable)
• Consider using 3rd party providers such as LucidWorks and
Cloudera
• Spend time understanding the best NOSQL technologies that match
your data requirements (Document Database, Graph Database,
Object Database, Key-Value Store, Big Tables)
• Big Data is a very expensive journey so plan carefully
• When you are about to give up you may be closer than you think