4. Data in General
» According to IBM:
2.5 – 3 exabytes / day
» Data is produced everywhere
4
5. » 90% of data produced in the last two years
» Amount will double every three years
Data in General
5
6. Data in General
Swimming in data
• Volume (big amount of data)
• Variety (many data formats)
• Velocity (high performance)
• Value (valuable information)
• Veracity (quality of data)
• Volatility (storage of data)
6
11. Cloud
[ Forrester ]
67%
of adult internet users in the U.S.
use personal cloud services
The Personal Cloud will replace the PC
11
12. » APPs become more complex
» Business processes
Mobile and Cloud
12
13. Transformation of cultural institutions:
Media Collaboration Platform
Cultural institutions
» Museum of Modern Arts, New York
» Städel Museum, Frankfurt (110.000 exhibits)
» Hess. Landes- und Universitätsbibliothek
Conditions
» Rapid adaptability
» Flexible information retrieval
» Mobile operation based on cloud-infrastructure
Mobile and Cloud
13
16. Collaboration and Social
» Transformation of collaboration, use of networks,
buying, selling and learning behavior, knowledge
sharing
» New IT-approach
» People
Processes
Collaboration
16
Collaboration
18. Big Data
» What is Big Data?
» Data fication
1. Clouding data
2. Data Warehousing
3. Trash data
18
19. What is Big Data
19
Big Data
Valuable Information
Text
Pictur
es
Docu
ment
s
Internet Sites, Web Forums, Blogs
Social Networks, eMails, Sensors
From an enourmous
amount of data, only a
small fraction is
extracted as valuable
data.
Expensive
separation of
useless and
usefull
informations
• Volume (big amount of data)
• Variety (many data formats)
• Velocity (high performance)
• Value (valuable information)
• Veracity (quality of data)
• Volatility (storage of data)
20. Big Data technologies
20
Big Data
For batch processing of big amounts of
unstructured data the hadoop ecosystem
is used. Big Data analysis is done with
the MAP/REDUCE framework
For real time processing
of huge amounts of data
In-Memory databases
are used
Use Cases: Analysis of Social Data,
eMail Data, …
Use Cases: Real Time processing of
sensor data or financial transactions
21. Big Data is the way how discoveries will happen in
future
21
Big Data
Google researchers found out by chance that certain search terms are
good indicators of flu activity.
Today Google Flu Trends uses aggregated Google search data to
estimate flu activity in the different countries.
In future from correlating huge amount of medical data new therapies
could be discovered.
patient records
clinical study
Scientific
publications
Compute
correlations
with Big Data
analytics
New
therapies
23. » Agile Organizations will take the lead
» Shortage of 140,000 to 190,000 people with
deep analytical skills in the U.S. / 1.5 million
managers and analysts
Consequences of the revolution
Consequences of the revolution
23
24. The future of organizations
Traditional Organizations
» Inflexible IT-Systems
based on application silos
» Business and administrative
processes with media disruptions
» Hierarchy
Internal and external communication
» Limited information
Digital Organizations
» Scalable IT-Systems
based on cloud, mobile, big data and
collaboration
» End-to-End processes
based on collaboration and real-time
KPIs
» Social interaction
with employees, customers and
partner
» 360° information
Consequences of the revolution
24
25. Future of companies after the revolution
» Mobility
» Big data
» New organizational structures
25
26. Thank you for your attention!
+49 151 29 224 222
mahbobi@axxessio.com
GOODARZ MAHBOBI