Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Presentation on Big Data

No description
by

Corina Ciechanow

on 15 October 2015

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Presentation on Big Data

The
Big Data paradigm
needs a full new IT architecture:

New
storage
architecture (10 000 servers)

With
massive parallel processing
capabilities

Text-analysis, Voice recognition capacities
Data
analysis tools
(statistics, discovery, exploration)
Decision tools (Trees, Pro-Con analysis, Rule-based, Neural Network, Tradeoff-based )

Specific tools for
real time data
(streaming)

...still needs specific skills: 'data scientists' from fields like statistics, modeling, machine learning, linguistics, design experiments, and more.
by Corina Ciechanow, 2013 corina@waterloohills.com
http:/BitsOfKnowledge.WaterlooHills.com

Introduction to Big Data
Data means Business
McKinsey and MIT 2012 survey: revenues of data-exploiting companies
increased more than 5%
than competitors

It is a fundamental transformation in all sectors of the economy.
The New business of Data
Dorothee Belz, VP Legal and Corporate Affairs at Microsoft Europe said this month at IAMCP :

"The new business is Data"

Storing it (Cloud)
Extracting, Transforming, Analyzing it (Big Data)
Selling it (users behavior)
Creating new business with it
From Intuition to
Data-driven Management
We can make better predictions, that leads to smarter decisions than before.

Big Data means a mentality change on the decision-making culture, from '
What do you

think?
' to '
What do you

know?
'

It is a
management REVOLUTION
Data is Everywhere
... to data-driven
From Intuition...
Big Data Players
Companies
Public service
Big Data = BI + 3 'V's
Big Data Issues
Examples
Technology
Senior Executives and expensive Consultants (the
H
ighest-
P
aid
P
erson's
O
pinion) use their experience or 'hunch' where no data is available.

There are cognitive bias that have an impact on the Key Performance Indicators:

the Overconfidence bias
the Availability heuristic bias
the Status-quo bias
Decision-makers & Managers have to learn to formulate questions:
What do the data say?
Where do data come from?
How confident are we?
... and be ready to override their intuition.

That implies changing our perceptions and beliefs on
the value of experience
the nature of expertise
the practice of management
Big Data is
exploiting data
where the volume goes beyond the capacities of traditional data management software (Database/

Datawarehouse), when it is unstructured, in different formats or when it is disperse.


V
olume, subjective measure

V
ariety of sources and formats

V
elocity, the speed of data creation or data validity


Objective --> To find patterns, anomalies, models, to predict, to personalize
kilobyte (kB) = 10^3
megabyte (MB) = 10^6
gigabyte (GB) = 10^9
terabyte (TB) = 10^12
petabyte (PB) = 10^15
exabyte (EB) = 10^18
zettabyte (ZB) = 10^21

1 petabyte = 1 million gigabytes
1PB = 1 000 000 GB
1 exabyte = 1 thousand petabytes
1EB = 1 000 PB
Validation, Veracity, Quality
Life-span
Correlation versus Causation
Data protection, Data privacy
Making it clear --> visualization
Smart-Cities
Traffic
Energy
Predicting natural catastrophes
Crisis mgt
Environmental issues
Coursera
Dacom Agri Yield Mgt
Visualization
Infographics
Tableau Public
Network analysis tools:
Gephi,
Pajek,
NodeXL
Cost of 5Gb

1975 --> 100 000 000 $
1990 --> 50 000 $
1995 --> 5 000 $
2000 --> 50 $
2005 --> 5 $
2012 --> < 0,5 $
Disclaimer: The data/logo/marks of organisations are used here merely for reference and used in good faith with no intention to infringe the intellectual property rights of the organizations.
To conclude
Big Data is
a DO or DIE Business Case
THE new business
a MANAGEMENT REVOLUTION

a new PARADIGM
because as new system of knowledge it can change the very meaning of learning and experience
From Euro Beinat's presentation on Collective Sensing at NEXT Berlin 2011
Thanks, Wikipedia :-)
http://www.nytimes.com/interactive/2012/02/13/us/politics/2013-budget-proposal-graphic.html?_r=0
2.5 exabytes (10 000 US Library of Congress)
created each day,
more data each second than what was stored 20 years ago
,
and growing 40% per year from:

Commercial transactions
Social networks
Telecommunications
Photos/ Videos
Internet of Things (sensors and
machines via RFID,Bluetooth,SIM..)
...and also keeping track of our behavior!
M2M
PASSUR
Source: HBR, October 2012, A.McAfee & E.Brynjolfsson
Source: HBR, October 2012, M.Maubassin
Facebook 2004
Twitter 2006
iPhone 2007
iPad 2010
Word doc
Pictures
Films
External Disk
Sears
SME: use Crowdsourcing
http://www.slideshare.net/cociecha/crowdsourcing-pwi-sept2011
Full transcript