Big Data seems to be all the rage these days and sooner or later business professionals will need to either use it or review its usage within the organisation. This introductory presentation for non-technical users covers Big Data fundamentals and some current and potential future applications of Big Data. The presentation provides an overview of what Big Data is, what technologies can be used to process Big Data(sets) and discuss some specific examples. The structure of the presentation is: - what is big data - big data technologies - what do all these mysterious names mean - big data examples - fighting pirates (on the high seas) and graffiti (in the city) - big data examples in audit - fraud detection, payroll recalculation - what has Dr. Seuss got to say about big data

1. Mario Bojilov
Meta Business Systems
20 February 2013
Copyright (c) 2012, Meta Business Systems

2. What is Big Data
Volume
 90% of data in the world was created in the last 2
years
Copyright (c) 2012, Meta Business Systems

3. What is Big Data
Volume
 90% of data in the world was created in the last 2
years
 2.5EB are created every day
 Gigabyte (GB) - 1,024MB
 Terabyte (TB) - 1,024GB
 Petabyte (PB) - 1,024TB
 Exabyte (EB) - 1,024PB
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4. What is Big Data
Velocity
 Customer Satisfaction/Churn
 Social Media
 Fraud
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5. What is Big Data
Variety
 Structured
 Semi-structured
 Unstructured
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6. Big Data Technologies
Hadoop/MapReduce
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7. Big Data Technologies
Hadoop/MapReduce
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8. Big Data Technologies
R - free software environment for
statistical computing and graphics
http://www.r-project.org/
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9. Big Data Technologies
MongoDB (from "humongous") - a scalable, high-
performance, open source, NoSQL database.
 Craigslist – Archiving
 Disney – Gaming
 Foursquare – Social Analytics
 MTV Networks – Content Management
Copyright (c) 2012, Meta Business Systems

10. Big Data Technologies
Cassandra - highly scalable, open-source, distributed,
structured key-value database (developed by Facebook)
 eBay
 Netflix
 Twitter
 Reddit
 Digg
300TB/400
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11. Big Data Architecture
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12. Big Data Architecture
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13. Big Data Examples
fighting pirates (on the high seas)
$7,000,000,000
(Source: Oceans Beyond Piracy)
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14. Big Data Examples
fighting pirates (on the high seas)
ArcGIS
http://www.businessinsider.com/how-to-fight-pirates-with-big-data-2012-12?0=sai
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15. Big Data Examples
fighting pirates (on the high seas)
ArcGIS
54% (International Maritime Bureau)
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16. Big Data Examples
… and graffiti (in the city)
 Status
 Protest
 High value “marks”
 Patterns
 Low mobility
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17. Big Data Examples in Audit
Payroll Recalculation Map
Name: PW Name: MB-S
Salary: $200 Amount: $200
Name: JS
Overtime:$200
Salary: $0
Name: MB Name: MB-O
Allowance: $X
Overtime: $0
Salary: $200 Amount : $100
Leave: $Y
Allowance: $X
Overtime: $0
Deduction: $Z $X
Leave: $Y
Allowance:
Deduction: $Z
Leave: $Y
Deduction: $Z
Name: JS-S
Amount : $300
Name: JS-O
Name: PW Amount : $25
Salary: $200
Name: JS
Overtime:$200
Salary: $0
Name: MB
Allowance: $X
Overtime: $0
Salary: $200
Leave: $Y
Allowance: $X
Overtime: $0
Deduction: $Z $X
Leave: $Y
Allowance: Name: PW-S
Deduction: $Z
Leave: $Y Amount : $250
Deduction: $Z
Name: PW-O
Amount : $50
Copyright (c) 2012, Meta Business Systems

18. Big Data Examples in Audit
Payroll Recalculation Map
Name: PW Name: MB-S
Salary: $200 Amount: $200
Name: JS
Overtime:$200
Salary: $0
Name: MB Name: MB-O
Allowance: $X
Overtime: $0
Salary: $200 Amount : $100 Reduce
Leave: $Y
Allowance: $X
Overtime: $0
Deduction: $Z $X
Leave: $Y
Allowance:
Deduction: $Z
Leave: $Y Name: MB
Deduction: $Z Total: $2,500
Name: JS-S Name: JS
Amount : $300 Total: $3,200
Name: JS-O Name: PW
Name: PW Amount : $25 Total: $2,850
Salary: $200
Name: JS
Overtime:$200
Salary: $0
Name: MB
Allowance: $X
Overtime: $0
Salary: $200
Leave: $Y
Allowance: $X
Overtime: $50
Deduction: $Z $X
Leave: $Y
Allowance: Name: PW-S
Deduction: $Z
Leave: $Y Amount : $250
Deduction: $Z
Name: PW-O
Amount : $50
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19. Big Data Examples in Audit
Payroll Recalculation
MB Mr. X JS Ms. Y PW Mrs. Z
P1 $2500 $5500 $3200 $1500 $2850 $8500
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20. Big Data Examples in Audit
Payroll Recalculation
MB Mr. X JS Ms. Y PW Mrs. Z
P1 $2600 $5500 $3200 $1500 $2850 $8500
MB Mr. X JS Ms. Y PW Mrs. Z
P2 $2300 $5500 $3200 $1500 $2500 $8500
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21. Big Data Examples in Audit
Payroll Recalculation
MB Mr. X JS Ms. Y PW Mrs. Z
P1 $2600 $5500 $3200 $1500 $2850 $8500
MB Mr. X JS Ms. Y PW Mrs. Z
P2 $2300 $5500 $3400 $1500 $2500 $8500
MB Mr. X JS Ms. Y PW Mrs. Z
P26
$3500 $6500 $4000 $2000 $3000 $9500
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22. Big Data Examples in Audit
Fraud Detection
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23. Big Data Examples in Audit
Map
Fraud Detection
Name: PW Name: MB-1-1
Salary: $200 Amount: $200
Name: JS
Overtime: $0
Salary: $200
Name: MB
Allowance: $X1: $200
Overtime: $0
Line Item Name: MB-15000-8
Leave: $YItem $X: $0
Allowance: 2
Line Amount : $100
Deduction: $Z 3 : $X
Leave: Item
Line $Y
Deduction: $Z: $Y
Line Item 4
Line Item 5 : $Z
Name: JS-2-1
Amount : $300
Name: PW Name: JS-14000-3
Salary: $200
Name: JS Amount : $25
Overtime:$200
Salary: $0
Name: MB
Allowance: $X 1: $200
Overtime: $0
Line Item
Leave: $YItem$X: $500
Allowance: 2
Line
Deduction: $Z 3 : $X
Leave: $Y
Line Item Name: PW-3-1
Deduction: $Z: $Y
Line Item 4 Amount : $250
Line Item 5 : $Z
Name: PW-2200-5
Amount : $50
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24. Big Data Examples in Audit
Map Reduce
Fraud Detection
Name: PW Name: MB-1-1 Name: MB-1
Salary: $200 Amount: $200 Benford 1: 0.31
Name: JS
Overtime: $0
Salary: $200
Name: MB
Allowance: $X1: $200
Overtime: $0
Line Item Name: MB-15000-8 Name: MB-9
Leave: $YItem $X: $0
Allowance: 2
Line Amount : $100 Benford 9: 0.05
Deduction: $Z 3 : $X
Leave: Item
Line $Y
Deduction: $Z: $Y
Line Item 4
Line Item 5 : $Z Name: JS-1
Benford 1: 0.32
Name: JS-2-1
Amount : $300
Name: JS-4
Benford 4: 0.15
Name: PW Name: JS-14000-3
Salary: $200
Name: JS Amount : $25 Name: JS-9
Overtime:$200
Salary: $0
Name: MB Benford 9: 0.051
Allowance: $X 1: $200
Overtime: $0
Line Item
Leave: $YItem$X: $500
Allowance: 2
Line
Deduction: $Z 3 : $X
Leave: $Y
Line Item Name: PW-3-1 Name: PW-1
Deduction: $Z: $Y
Line Item 4 Amount : $250 Benford : 0.295
Line Item 5 : $Z
Name: PW-2200-5 Name: PW-9
Amount : $50 Benford 9: 0.05
Copyright (c) 2012, Meta Business Systems

25. … And, Dr. Seuss ….
If you read with your eyes shut
you’re likely to find
that the place where you’re going
is far, far behind.
Copyright (c) 2012, Meta Business Systems

26. … And, Dr. Seuss ….
If you read with your eyes shut
you’re likely to find
that the place where you’re going
is far, far behind.
SO …
that’s why I tell you
to keep you eyes wide.
Keep them wide open …
at least on one side.
Copyright (c) 2012, Meta Business Systems

27. Thank You!
Mario.Bojilov@mbsys.com.au
@mariogb
www.linkedin.com/in/mariobojilov
big-data-for-organisational-leaders.blogspot.com.au/
www.scoop.it/t/big-data-for-organisational-leaders
Copyright (c) 2012, Meta Business Systems