The document discusses the emergence and implications of big data, characterized by the three V's: volume, variety, and velocity. It highlights the potential benefits of big data for businesses across various sectors, including improved market positioning and operational efficiency, while also addressing challenges such as data loss and security. Furthermore, it emphasizes the significance of systems like IBM's Watson that utilize big data to enhance decision-making and generate valuable insights.

1. AN INSIGHT INTO…
Innovation and New Technologies
Lecturer: Prof. Carlo Vaccari
AS 2013
04.02.2014
Author: Carlo Colicchio

2. Agenda
Big Data in Facts
Chances and Challenges of Big Data
The Business Value of Big Data
The Big Data Landscape
Case
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3. Big Data is emerging
from several new Technologies...
Source: Experton Group 2012
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The Mobile Use of
the Internet and
Cloud Computing
are the most
important drivers for
BIG DATA increase
85% unstructured
data, with valuable
content which can be
analysed
Source: TechAmerica Foundation, 2013
Big Data in Facts
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4. Source: Credit Suisse - Global Investor Report. 2013
Big Data in Facts
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5. ...which enhance the data growth ...
The Growth of Data is rapid
and unstoppable. Big Data
will affect enterprises from
all kind of branches.
Zettabyte is the unit of
measure which follows
after Terabyte, Petabyte
and Exabyte.
Source: IDC Universe Study, 2010
Big Data in Facts
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6. ...and it is characterised the 3 V‘s.
Volume
• Large amount of data sets, files and
measurement data from new sources
Variety
• Processing of internal/ external data
• Un-/ and structured data
(Video, Images, Tweets etc.)
Velocity
Analytics
Viability,
Veracity
• Data generation and analysis with
high velocity
• Data transfer in real-time (Miliseconds)
Source: Hoge, 2012, IBM Deutschland
• Identification of correlations,
meanings, patterns (Data- and Text
Mining, Real-Time, Visualisation)
Big Data in Facts
6

7. Business Intelligence is
moving on due to three market trends.
Traditional
Reporting
Big Data
Real Time
Predictive
Source: Forrester, The Business Intelligence Growth Opportunity, 2011
Big Data in Facts
7

8. Big Data creates new Chances for
Enterprises to improve their Market Position...
Time-tomarket
Process
optimization
Customer
Insights
Reduced
Systeminfra
-structure
Business
Models
Reasonable
decisions
Compliance
Big Data
Strategy
Source: BITKOM, 2012
Chances and Challenges of Big Data
8

9. ... but also Challenges have to be faced.
Dataloss
Total Cost of
Ownership
Data Interpretation/
Validation
Transparancy
Basis for
decisions
IT-Security /
Fraud
Source: BITKOM, 2012
Chances and Challenges of Big Data
9

10. Big Data generates significant
financial value across various sectors...
Retail (Marketing & Sales)
- Accurate Market and Competition Analysis
- Revenue increase and cost reduction
Health Care
- Improved cost efficiency due to better patient
analysis and resp. more accurate diagnosis
Manufacturing, Services and Support
- Production optimization with sensor data
- Early identification of production problems
Finance and Risk Controlling
- Fraud and Manipulation recognition
- Real time risk controlling
Source: McKinsey Global Institute, 2011 / BITKOM, 2012
The Business Value of Big Data
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11. ...and is also perceived as a
valueable discipline to enhance Business.
How valuable would it be/is it to
your business?
How would an application of Big Data
be most useful?
Source: AIIM, BIG DATA, 2012
Enterprises rate Big Data as very valuable and would like to enhance
their competitve position, avoid business discontinuity, or detect noncompliance.
The Business Value of Big Data
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12. Within the „BIG DATA“
domain several entities are involved.
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Infrastructure
Analytics
Applications
Data Sources
Cross Infrastructure / Analytics
Open Source Projects
The Big Data Landscape
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13. Within the „BIG DATA“
domain several entities are involved.
The Big Data Landscape
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14. IBM developed „WATSON“,
a system which makes use of Big Data.
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Uses the english World Wide Web locally
Corresponds to 10km printed books
About 200 Mio. book pages therefrom only
2.25 Mio. from Wikipedia
Needs about 2000 Years time to read
Watson combines:
§ natural language processing,
hypothesis generation and
evaluation to give direct
confidence-based responses
Watson can be applied now in various
sectors like healthcare and finance
Trailers:
Watson: A system designed for Answers, The Science Behind Watson, Perspectives on Watson: Finance
Case
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15. Thank you for your attention!
End
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16. References
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BITKOM, 2012. Big Data im Praxiseinsatz - Szenarien, Beispiele, Effekte.
Das, Nilanjan & Neumann, Uwe. 2013. Big Data - Digitaler Quantensprung. Credit Suisse –
Global Investor Report
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Hoge, Wilfried, 2012. Big Value from Big Data. IBM Deutschland
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Keil, Thomas, 2012. Big Data und High Performance Analytics. SAS Institute GmbH
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McKinsey Global Institute, 2011. Big data: The next frontier for innovation, competition and
productivity.
Miles, Doug, 2012. Big Data - extracting value from your digital landfills. AIIM
TechAmerica Foundation, 2013. Demystifying Big Data: A Practical Guide To Transforming The
Business of Government.
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