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Big Data

a Quickstart

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Big Data

from idea to service provider

from a Consulting perspective

Edzo Botjes

Business Analyst �BT Consultant @ Sogeti Consulting Services

Vianen 2014 05 13

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Titel | Onderwerp | Plaats | Datum |

DATA is the NEW OIL

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Context of the oil

S = Social

M = Mobile

A = Analytics

C = Cloud

T = Thing

Network Organization

(Management 3.0)

Technology Trends

Testing and Quality Assurance

Business Information Management

Infrastructure Transformation

Mobility

Security

Sogeti Focus

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Context

Network Organization

(Management 3.0)

Technology Trends

Data Age

+

+

Context

of

Big Data

At

Your Client

=

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Big Data a Start | People Consulted | Vianen | 2014 05 13 |

People Consulted (1/2)

Big Data experts

IT

Data Experts

Business

Information

Architects

Big Data experts

Business

Data Experts Information Management

Architects

Business

Big Data experts

VINT

Big Data expert

R20

Desk Research

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People Consulted (2/2)

Big Data experts

IT

Data Experts

Business

Information

Architects

Big Data experts

Business

Data Experts Information Management

Architects

Business

Big Data experts

VINT

Big Data expert

R20

Desk Research

The INTERNET

&

Meetups!

:)

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Big Data a Start | Content | Vianen | 2013 05 13 |

What are questions from

the management

Content

What is Big Data �(meaning, definition examples)

Big Data at your client

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Big Data a Start | What are the MT questions | Vianen | 2013 05 13 |

What are the MT questions

• Question 1

- What is Big Data?

• Question 2

- Big Data in current organization?

• Question 3

- What should we do to offer added value � to the company?

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What is Big Data ?

What is Big Data �(meaning, definition examples)

Big Data at your client

What are questions from

the management

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Why Big Data is a MT subject (2013,2014)

Source: http://www.myforrester.net/big-data-webinar ; http://www.airlineleader.com/pdfs/Airline%20Leader%20Issue%2014.pdf

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Big Data is a MT subject in 2013

Source: https://www.bmelv.de/SharedDocs/Downloads/Verbraucherschutz/Internet-Telekommunikation/SaferInternetDay2013Ksker.pdf?__blob=publicationFile page 14

“Big Data, was ist das?", Dr. Holger Kisker, VP and Research Director Forrester. February 2013

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Classic BI Subject

data VS information

(Big) Data

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From data to wisdom (a BI Story)

Source: http://blog.vint.sogeti.com/wp-content/uploads/2012/07/VINT-Sogeti-on-Big-Data-1-of-4-Creating-Clarity.pdf page 6

"Creating clarity with Big Data", ViNT research report 1 of 4 by Jaap Bloem. et al. June 2012

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Effect of data insight on performance (2012)

Source: http://blog.vint.sogeti.com/wp-content/uploads/2012/07/VINT-Sogeti-on-Big-Data-1-of-4-Creating-Clarity.pdf page 8

"Creating clarity with Big Data", ViNT research report 1 of 4 by Jaap Bloem. et al. June 2012

Source: http://cci.uncc.edu/sites/cci.uncc.edu/files/media/pdf_files/MIT-SMR-IBM-Analytics-The-New-Path-to-Value-Fall-2010.pdf page 4

"Analytics: The new path to Value" by IBM and MIT

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Big (Data)

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The Attack of the exponentials

Source: http://www.slideshare.net/medriscoll/driscoll-strata-buildingdatastartups25may2011clean slide 4

"Building Data Start-ups: Fast, Big and Focused" by Michael E. Driscoll CTO Metamarkets, May 2011

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3 V’s that define Big Data (or 4?)

VALUE

Source: http://www.slideshare.net/multiscope/data-pioneers-sander-duivestein-vint-future-of-data slide 9

“The future of data” by Sander Duivestein , June 2012

Definition 1/3

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Big Data definition at Goldman Sachs et al.

BIG DATA

==

Transaction

+

Interaction

+

Observation

Source: http://hortonworks.com/blog/7-key-drivers-for-the-big-data-market/

"7 Key Drivers for the Big Data Market" by Shaun Connolly at the Goldman Sachs Cloud Conference May 2012

Definition 2/3

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Big Data Definition by Edzo

BIG DATA

==

Real time data

+

Real time analysis

(graph data)

+

Real time reaction

(feedback loop)

Source: Edzo Botjes

Definition 3/3

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Examples of the 3 V's

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Examples of Size and Source

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Examples of Big Data Analytics

Source: http://blog.vint.sogeti.com/wp-content/uploads/2012/07/VINT-Sogeti-on-Big-Data-1-of-4-Creating-Clarity.pdf page 18

"Creating clarity with Big Data", ViNT research report 1 of 4 by Jaap Bloem et al.. June 2012

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Examples of Big Data in the real life

Source:http://www.computerworld.com/s/article/9233587/Barack_Obama_39_s_Big_Data_won_the_US_election http://www.infoworld.com/d/big-data/the-real-story-of-how-big-data-analytics-helped-obama-win-212862 http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/ http://commons.wikimedia.org/wiki/File:Target_logo.svg http://www.rfgen.com/blog/bid/285148/Tesco-Improves-Supply-Chain-with-Big-Data-Automated-Data-Collection http://www.computerweekly.com/news/2240184482/Tesco-uses-big-data-to-cut-cooling-costs-by-up-to-20m http://img.dooyoo.co.uk/GB_EN/orig/0/7/7/7/3/777389.jpg http://www.computing.co.uk/IMG/120/257120/amazon-box-question-mark-370x229.jpg?1368697646

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Big Data at your Client

What is Big Data �(meaning, definition examples)

Big Data at your client

What are questions from

the management

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Jump or not to Jump ?

Big Data is concerned with exceptionally large, often widespread bundles of semi structured or unstructured data. In addition, they are often incomplete and not readily accessible.

“Exceptionally large” means the following, measured against the

extreme boundaries of current standard it and relational databases: petabytes of data or more, millions of people or more, billions of records or more, and a complex combination of all these.

With fewer data and greater complexity, you will encounter a serious Big Data challenge, certainly if your tools, knowledge and expertise are not fully up to date. Moreover, if this is the case, you are not prepared for future data developments. Semi-structured or unstructured means that the connections between data elements are not clear, and probabilities will have to be determined.

Further to read:

B. Ten Big Data management challenges: what are your issues?

C. Five requirements for your Big Data project: are you ready?

Source: http://blog.vint.sogeti.com/wp-content/uploads/2012/07/VINT-Sogeti-on-Big-Data-1-of-4-Creating-Clarity.pdf page 18

"Creating clarity with Big Data", ViNT research report 1 of 4 by Jaap Bloem et al. June 2012

Are you Big Data ready? Or to big a leap?

“Big”

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Starting Tips

Never, Ever, start without a Business Case � and thus not without a business sponsor.

• Added value of Big Data is combination of

“External” Sources.

Think outside the box, outside your silo.�

• Maturity is key.

- Start with identifying

- then go optimizing, scale to BI, BI++ and

- then to real time added value Big Data

feedback loops

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Big data in a existing organizations

CRM

R&D

Social Media

Application

Management

(E-Mail)�Marketing

Sales/Revenue

Accounting

Data

Governance

BI

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----------------------------------

CRM

Internal R&D

Internal BI

Social Media

Application

Management

(E-Mail)�Marketing

Sales/Revenue

Accounting

Data

Virtualization

data driven operations

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Information Management / Business Development Role (1/2)

Facilitate

Execute

Source:

http://www.alfredoartist.com/Optimized%20Images/Rodriguez-InSearchOfGold.jpg

http://resources1.news.com.au/images/2011/07/27/1226102/848013-gold-prospecting.jpg

http://www.refinedinvestments.com/wp-content/uploads/2012/10/gold-mining400x282.jpg

http://en.rockscrusher.com/wp-content/uploads/2011/04/gold-mining-plant.jpg

Be a leader

Bring together

Create

innovation environment

Bring

success to production

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Information Management / Business Development Role (2/2)

Not the Information Management Role

  1. Employ Data scientists
  2. Develop new data analyses technique’s
  3. Be a business sponsor

Information Management Role

  1. Facilitate the gold finding process (POCs)
    • Bring data scientist in touch with business�
  2. Be owner of the gold mining process (projects)�
  3. Have and Execute a vision on data governance and data virtualization. (reduce future costs on projects, POCs and changes etc.)

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Possible Partners

Be Inspired

By Gartner

Magic Quadrant

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Example Possible Partners

• Neo4J

- Big Data on your laptop� DIY graph database �

• SAS Visual Analytics

- Big Data on your own hardware� Business controlled self service BI (Big Data)�

• Target Holding

- Big Data Analysts and Big Data provider� partner of RuG, research companies etc. �

• Gooddata & Keboola

- Big Data in the Cloud incl the analysis

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So in a Nutshell ..

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Big Data a Start | From Buzz to Business | Vianen | 2013 05 13 |

From Buzz to Business

• Discover your data

- Sogeti Business Intelligence & Analytics �

• Think creative

- Agile, cogs of creativity, Enterprise Agility �

• Partner up!

- Sogeti Partners, Universities, Big Data Partners�

• Start learning by doing

- Start small, iterate, scale up,� Business Model Generation (BMG)

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The Network will win

Network Organization

(Management 3.0)

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Big Data

from Buzz to Business

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Meetup.com

Management 3.0