SlideShare a Scribd company logo
Advanced Visualization
            Bijilash Babu
            Technical Architect
      Technology Development Centre
              NeST Software

          bijilash.babu@nestgroup.net




 Session on Emerging trends in
     Business Intelligence

        20 July 2012: Zenith Hall
    Bhavani, Technopark, Trivandrum
Big Data, It’s Visualization

   •   Gartner’s definition of big data refers to high-volume, high-velocity and high-
       variety information assets that demand cost-effective, innovative forms of
       information processing for enhanced insight and decision making.

   •   Big Data is the convergence of three v’s: volume, variety and velocity..

   •   Internet of things (with different sensors), CRM, social media, etc..

   •   Improved use of Big Data could add t to the economy and create N jobs.

   •   Volume of data keeps creeping, Decision makers would struggle..

   •       Data visualisation would be a key for better perception.




8-Aug-12                            NeST Controlled/Confidential
                                                                                         2
Roadmap


   • Big Data

   • Dimensionality

   • Current trends

   • Ordinary analytics

   • Applied maths

   • Advanced Technology




8-Aug-12                   NeST Controlled
                                             3
When big wasn’t that big
            Track rises and falls over time
            • Line graph
            • Stack graph
            • Categories Stack graph
            See relationships among data points
            • Scatterplot
            • Matrix chart
            • Network Diagram
             Compare a set of values
            • Bar chart
            • Block histogram
            • Bubble chart
            See parts of a whole
            • Pie Chart
            • Tree Map
            • Analyze a text
            • Word tree
            • Wordle
            See the world
            • Mapping



8-Aug-12                    NeST Controlled/Confidential
                                                           4
Timeline




                                             Source: The Economist




8-Aug-12      NeST Controlled/Confidential
                                                                     5
Better Representation




                                                       Source: www.cia.gov




           9876546765                987-654-6765




8-Aug-12                NeST Controlled/Confidential
                                                                             6
Better Representation




                                                  Source: The New York Times




8-Aug-12           NeST Controlled/Confidential
                                                                               7
The volcano




8-Aug-12         NeST Controlled/Confidential
                                                8
Create your own visual

                                         Tag Cloud, NSF proposals




                                        Source:                     www.wordle.net
                                        George K. Thiruvathukal,
                                        Associate Editor in Chief
                                        Computing in Science & Engineering


8-Aug-12           NeST Controlled/Confidential
                                                                                     9
Create your own visual




       Created in R with wordcloud package. Data from country population. Note that the proportional sizes of China
       and India were reduced in half.


8-Aug-12                                     NeST Controlled/Confidential
                                                                                                                      10
Big Data
   • With the exponential growth in data acquisition and generation.

   • High-resolution sensors

   • More disk space and more CPU cycles...

   • You know, there are couple of walls around the CPU,

   • and GPUs come into picture!




8-Aug-12                  NeST Controlled/Confidential
                                                                   11
How to go around


   • Need to bring in better methods for extracting a smaller
     set of relevant data

   • Big Data isn’t just about numbers or volume, but the
     trends – how they change over time.

   • Visualisation is an invaluable tool in identifying trends
     within massive data sets.

   • spotting anomalies as well as outliers

8-Aug-12                  NeST Controlled/Confidential
                                                                 12
Calling in Maths

   • Scientific Data Analysis techniques

   • Numerical Linear Algebra

   • SVD - The          prize, compression

   • PCA/ NLPCA – to reduce the dimensionality, feature extraction
                     Latent Semantic Indexing (LSI)
   • SVM - classification, regression, and anomaly detection.

   • SOM - neural network algorithm based on unsupervised learning



8-Aug-12                    NeST Controlled/Confidential
                                                                     13
Log plots
   •   Response to skewness towards large values; i.e., cases in which one or a few points
       are much larger than the bulk of the data.
   •   To show percent change or multiplicative factors.
   •   Base of ten is useful when the data range over several orders of magnitude, a base
       of two is useful when the data have a smaller range




8-Aug-12                           NeST Controlled/Confidential
                                                                                             14
Better Mixing




                       +                          =?



8-Aug-12           NeST Controlled/Confidential
                                                       15
Visual data Mining




                               Source: S.J. Simoff et al. (Eds.): Visual Data Mining, LNCS 4404


8-Aug-12           NeST Controlled/Confidential
                                                                                                  16
Advanced technology




8-Aug-12         NeST Controlled/Confidential
                                                17
Hans Rosling...




                                                    ...What’s next?

8-Aug-12             NeST Controlled/Confidential
                                                                      18
Thank you!!!




8-Aug-12   NeST Controlled/Confidential
                                          19

More Related Content

PDF
Big Data in small words
PDF
Big Data Expo 2015 - Ureason
PDF
Using Big Data Analytics
PDF
VALUENEX Singapore Seminar: How can we find the future on the radar map of bi...
PDF
Performance Testing Insights
PPT
Performance Testing With Loadrunner
PDF
LoadRunner Performance Testing
PPTX
HP LoadRunner - What it is and How it works
Big Data in small words
Big Data Expo 2015 - Ureason
Using Big Data Analytics
VALUENEX Singapore Seminar: How can we find the future on the radar map of bi...
Performance Testing Insights
Performance Testing With Loadrunner
LoadRunner Performance Testing
HP LoadRunner - What it is and How it works

Similar to Advanced visualization (20)

PDF
Advanced Visualizations, Bijilash Babu
PDF
THE 3V's OF BIG DATA: VARIETY, VELOCITY, AND VOLUME from Structure:Data 2012
PDF
STING: Spatio-Temporal Interaction Networks and Graphs for Intel Platforms
PDF
Got Big Data? Get OpenSplice!
PDF
Private Cloud Delivers Big Data in Oil & Gas v4
PDF
INF2190_W1_2016_public
PPTX
Data Warehousing & Business Intelligence 5 Years From Now
PPTX
Ets train ppt_big_data_basics_v2.0
PPTX
Bigdatacooltools
PPTX
Big Data & Data Science
PDF
Big Data Analytics - Best of the Worst : Anti-patterns & Antidotes
PPTX
John Eberhardt NSTAC Testimony
PDF
LUISS - Deep Learning and data analyses - 09/01/19
PPT
ai based computer basic learning Lecture about Bigdata.ppt
PDF
Big Data and Implications on Platform Architecture
PDF
Data Science
PPTX
Introduction to big data
PPTX
Internet Infrastructures for Big Data (Verisign's Distinguished Speaker Series)
PDF
Cetas Analytics as a Service for Predictive Analytics
Advanced Visualizations, Bijilash Babu
THE 3V's OF BIG DATA: VARIETY, VELOCITY, AND VOLUME from Structure:Data 2012
STING: Spatio-Temporal Interaction Networks and Graphs for Intel Platforms
Got Big Data? Get OpenSplice!
Private Cloud Delivers Big Data in Oil & Gas v4
INF2190_W1_2016_public
Data Warehousing & Business Intelligence 5 Years From Now
Ets train ppt_big_data_basics_v2.0
Bigdatacooltools
Big Data & Data Science
Big Data Analytics - Best of the Worst : Anti-patterns & Antidotes
John Eberhardt NSTAC Testimony
LUISS - Deep Learning and data analyses - 09/01/19
ai based computer basic learning Lecture about Bigdata.ppt
Big Data and Implications on Platform Architecture
Data Science
Introduction to big data
Internet Infrastructures for Big Data (Verisign's Distinguished Speaker Series)
Cetas Analytics as a Service for Predictive Analytics
Ad

More from Deepu S Nath (20)

PPTX
Design Thinking, Critical Thinking & Innovation Design
PDF
GTECH ATFG µLearn Framework Intro
PPTX
Future of learning - Technology Disruption
PDF
Decentralized Applications using Ethereum
PDF
How machines can take decisions
PDF
Artificial Intelligence: An Introduction
PPTX
FAYA PORT 80 Introduction
PDF
How machines can take decisions
PDF
Simplified Introduction to AI
PPTX
Mining Opportunities of Block Chain and BitCoin
PPTX
Introduction to DevOps
PPT
Coffee@DBG - TechBites March 2016
PPTX
REACT.JS : Rethinking UI Development Using JavaScript
PPT
SEO For Developers
PDF
Life Cycle of an App - From Idea to Monetization
PPT
Uncommon Python - What is special in Python
PPT
Coffee@DBG - TechBites Sept 2015
PPT
Techbites July 2015
PPT
Apple Watch - Start Your Developer Engine
PPTX
Greetings & Response - English Communication Training
Design Thinking, Critical Thinking & Innovation Design
GTECH ATFG µLearn Framework Intro
Future of learning - Technology Disruption
Decentralized Applications using Ethereum
How machines can take decisions
Artificial Intelligence: An Introduction
FAYA PORT 80 Introduction
How machines can take decisions
Simplified Introduction to AI
Mining Opportunities of Block Chain and BitCoin
Introduction to DevOps
Coffee@DBG - TechBites March 2016
REACT.JS : Rethinking UI Development Using JavaScript
SEO For Developers
Life Cycle of an App - From Idea to Monetization
Uncommon Python - What is special in Python
Coffee@DBG - TechBites Sept 2015
Techbites July 2015
Apple Watch - Start Your Developer Engine
Greetings & Response - English Communication Training
Ad

Recently uploaded (20)

PDF
advance database management system book.pdf
PPTX
ELIAS-SEZIURE AND EPilepsy semmioan session.pptx
PDF
Practical Manual AGRO-233 Principles and Practices of Natural Farming
PPTX
Virtual and Augmented Reality in Current Scenario
PPTX
Onco Emergencies - Spinal cord compression Superior vena cava syndrome Febr...
PDF
David L Page_DCI Research Study Journey_how Methodology can inform one's prac...
PDF
Weekly quiz Compilation Jan -July 25.pdf
PPTX
20th Century Theater, Methods, History.pptx
PPTX
Chinmaya Tiranga Azadi Quiz (Class 7-8 )
PDF
Τίμαιος είναι φιλοσοφικός διάλογος του Πλάτωνα
PDF
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
PPTX
A powerpoint presentation on the Revised K-10 Science Shaping Paper
PPTX
Share_Module_2_Power_conflict_and_negotiation.pptx
PDF
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
PDF
Black Hat USA 2025 - Micro ICS Summit - ICS/OT Threat Landscape
PPTX
202450812 BayCHI UCSC-SV 20250812 v17.pptx
PDF
IGGE1 Understanding the Self1234567891011
PPTX
History, Philosophy and sociology of education (1).pptx
PDF
Chinmaya Tiranga quiz Grand Finale.pdf
DOC
Soft-furnishing-By-Architect-A.F.M.Mohiuddin-Akhand.doc
advance database management system book.pdf
ELIAS-SEZIURE AND EPilepsy semmioan session.pptx
Practical Manual AGRO-233 Principles and Practices of Natural Farming
Virtual and Augmented Reality in Current Scenario
Onco Emergencies - Spinal cord compression Superior vena cava syndrome Febr...
David L Page_DCI Research Study Journey_how Methodology can inform one's prac...
Weekly quiz Compilation Jan -July 25.pdf
20th Century Theater, Methods, History.pptx
Chinmaya Tiranga Azadi Quiz (Class 7-8 )
Τίμαιος είναι φιλοσοφικός διάλογος του Πλάτωνα
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
A powerpoint presentation on the Revised K-10 Science Shaping Paper
Share_Module_2_Power_conflict_and_negotiation.pptx
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
Black Hat USA 2025 - Micro ICS Summit - ICS/OT Threat Landscape
202450812 BayCHI UCSC-SV 20250812 v17.pptx
IGGE1 Understanding the Self1234567891011
History, Philosophy and sociology of education (1).pptx
Chinmaya Tiranga quiz Grand Finale.pdf
Soft-furnishing-By-Architect-A.F.M.Mohiuddin-Akhand.doc

Advanced visualization

  • 1. Advanced Visualization Bijilash Babu Technical Architect Technology Development Centre NeST Software bijilash.babu@nestgroup.net Session on Emerging trends in Business Intelligence 20 July 2012: Zenith Hall Bhavani, Technopark, Trivandrum
  • 2. Big Data, It’s Visualization • Gartner’s definition of big data refers to high-volume, high-velocity and high- variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. • Big Data is the convergence of three v’s: volume, variety and velocity.. • Internet of things (with different sensors), CRM, social media, etc.. • Improved use of Big Data could add t to the economy and create N jobs. • Volume of data keeps creeping, Decision makers would struggle.. • Data visualisation would be a key for better perception. 8-Aug-12 NeST Controlled/Confidential 2
  • 3. Roadmap • Big Data • Dimensionality • Current trends • Ordinary analytics • Applied maths • Advanced Technology 8-Aug-12 NeST Controlled 3
  • 4. When big wasn’t that big Track rises and falls over time • Line graph • Stack graph • Categories Stack graph See relationships among data points • Scatterplot • Matrix chart • Network Diagram Compare a set of values • Bar chart • Block histogram • Bubble chart See parts of a whole • Pie Chart • Tree Map • Analyze a text • Word tree • Wordle See the world • Mapping 8-Aug-12 NeST Controlled/Confidential 4
  • 5. Timeline Source: The Economist 8-Aug-12 NeST Controlled/Confidential 5
  • 6. Better Representation Source: www.cia.gov 9876546765 987-654-6765 8-Aug-12 NeST Controlled/Confidential 6
  • 7. Better Representation Source: The New York Times 8-Aug-12 NeST Controlled/Confidential 7
  • 8. The volcano 8-Aug-12 NeST Controlled/Confidential 8
  • 9. Create your own visual Tag Cloud, NSF proposals Source: www.wordle.net George K. Thiruvathukal, Associate Editor in Chief Computing in Science & Engineering 8-Aug-12 NeST Controlled/Confidential 9
  • 10. Create your own visual Created in R with wordcloud package. Data from country population. Note that the proportional sizes of China and India were reduced in half. 8-Aug-12 NeST Controlled/Confidential 10
  • 11. Big Data • With the exponential growth in data acquisition and generation. • High-resolution sensors • More disk space and more CPU cycles... • You know, there are couple of walls around the CPU, • and GPUs come into picture! 8-Aug-12 NeST Controlled/Confidential 11
  • 12. How to go around • Need to bring in better methods for extracting a smaller set of relevant data • Big Data isn’t just about numbers or volume, but the trends – how they change over time. • Visualisation is an invaluable tool in identifying trends within massive data sets. • spotting anomalies as well as outliers 8-Aug-12 NeST Controlled/Confidential 12
  • 13. Calling in Maths • Scientific Data Analysis techniques • Numerical Linear Algebra • SVD - The prize, compression • PCA/ NLPCA – to reduce the dimensionality, feature extraction Latent Semantic Indexing (LSI) • SVM - classification, regression, and anomaly detection. • SOM - neural network algorithm based on unsupervised learning 8-Aug-12 NeST Controlled/Confidential 13
  • 14. Log plots • Response to skewness towards large values; i.e., cases in which one or a few points are much larger than the bulk of the data. • To show percent change or multiplicative factors. • Base of ten is useful when the data range over several orders of magnitude, a base of two is useful when the data have a smaller range 8-Aug-12 NeST Controlled/Confidential 14
  • 15. Better Mixing + =? 8-Aug-12 NeST Controlled/Confidential 15
  • 16. Visual data Mining Source: S.J. Simoff et al. (Eds.): Visual Data Mining, LNCS 4404 8-Aug-12 NeST Controlled/Confidential 16
  • 17. Advanced technology 8-Aug-12 NeST Controlled/Confidential 17
  • 18. Hans Rosling... ...What’s next? 8-Aug-12 NeST Controlled/Confidential 18
  • 19. Thank you!!! 8-Aug-12 NeST Controlled/Confidential 19