AN INSIGHT INTO…

Author: Carlo Colicchio 04.02.2014

Innovation and New Technologies Lecturer: Prof. Carlo Vaccari

AS 2013

Agenda

2

Big Data in Facts

Chances and Challenges of Big Data

The Business Value of Big Data

The Big Data Landscape

Case

Big Data is emerging from several new Technologies...

3 Big Data in Facts

}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: Experton Group 2012

Source: TechAmerica Foundation, 2013

4 Big Data in Facts

Source: Credit Suisse - Global Investor Report. 2013

...which enhance the data growth ...

5 Big Data in Facts

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

...and it is characterised the 3 V‘s.

6 Big Data in Facts

• Large amount of data sets, files and measurement data from new sources Volume

• Processing of internal/ external data • Un-/ and structured data

(Video, Images, Tweets etc.) Variety

• Data generation and analysis with high velocity

• Data transfer in real-time (Miliseconds) Velocity

•  Identification of correlations, meanings, patterns (Data- and Text Mining, Real-Time, Visualisation)

AnalyticsViability, Veracity

Source: Hoge, 2012, IBM Deutschland

Business Intelligence is moving on due to three market trends.

7 Big Data in Facts

Traditional Reporting

Big Data

Real Time

Predictive Source: Forrester, The Business Intelligence Growth Opportunity, 2011

Big Data creates new Chances for Enterprises to improve their Market Position...

8 Chances and Challenges of Big Data

Big Data Strategy

Process optimization

Customer Insights

Reasonable decisions

Time-to-market

Business Models

Reduced Systeminfra-structure

Compliance

Source: BITKOM, 2012

... but also Challenges have to be faced.

9 Chances and Challenges of Big Data

Source: BITKOM, 2012

Total Cost of Ownership

Dataloss

Transparancy Basis for decisions

Data Interpretation/ Validation

IT-Security / Fraud

Big Data generates significant financial value across various sectors...

10 The Business Value of Big Data

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

...and is also perceived as a valueable discipline to enhance Business.

11 The Business Value of Big Data

How valuable would it be/is it to your business?

How would an application of Big Data be most useful?

Enterprises rate Big Data as very valuable and would like to enhance their competitve position, avoid business discontinuity, or detect non-

compliance.

Source: AIIM, BIG DATA, 2012

Within the „BIG DATA“ domain several entities are involved.

12 The Big Data Landscape

Ø  Infrastructure Ø  Analytics Ø  Applications Ø  Data Sources Ø  Cross Infrastructure / Analytics Ø  Open Source Projects

Within the „BIG DATA“ domain several entities are involved.

13 The Big Data Landscape

IBM developed „WATSON“, a system which makes use of Big Data.

Ø  Uses the english World Wide Web locally

14 Case

Ø  Corresponds to 10km printed books Ø  About 200 Mio. book pages therefrom only

2.25 Mio. from Wikipedia Ø  Needs about 2000 Years time to read Ø  Watson combines:

§  natural language processing, hypothesis generation and evaluation to give direct confidence-based responses

Ø  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

Thank you for your attention!

15 End

References

16

Ø  BITKOM, 2012. Big Data im Praxiseinsatz - Szenarien, Beispiele, Effekte. Ø  Das, Nilanjan & Neumann, Uwe. 2013. Big Data - Digitaler Quantensprung. Credit Suisse –

Global Investor Report

Ø  Hoge, Wilfried, 2012. Big Value from Big Data. IBM Deutschland

Ø  Keil, Thomas, 2012. Big Data und High Performance Analytics. SAS Institute GmbH

Ø  McKinsey Global Institute, 2011. Big data: The next frontier for innovation, competition and productivity.

Ø  Miles, Doug, 2012. Big Data - extracting value from your digital landfills. AIIM

Ø  TechAmerica Foundation, 2013. Demystifying Big Data: A Practical Guide To Transforming The Business of Government.