THIRUVANANTHAPURAM, JULY 19:
Marlabs, a Bangalore-based provider of IT services, is sponsoring a ‘Business Intelligence Technology’ conference at the Thiruvananthapuram Technopark on Friday.
The event will focus on emerging trends in Business Intelligence (BI) Technology, a Marlabs spokesman said.
It will feature eminent speakers from leading information technology companies including Marlabs, Infosys, UST Global, NeST and Kreara.
The conference will discuss latest developments in emerging BI areas such as predictive analytics, Big Data, mobile BI, social BI and advanced visualisations. It will also highlight the growing job opportunities for newly graduated software professionals in the Tier II and Tier III cities.
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Advanced Visualization Techniques for Big Data Insights
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. Roadmap
• Big Data
• Dimensionality
• Current trends
• Ordinary analytics
• Applied mathematics
• Advanced Technology
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3. 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, velocity and variety .
• Internet of things (with different sensors), CRM, social media, etc..
• Improved use of Big Data could add X to the economy and create N jobs.
• Volume of data keeps creeping, Decision makers would struggle..
• Data visualisation is the key for better perception of the underlying facts.
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4. When big wasn’t that big
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• Line graph
• Stack graph
• Categories Stack graph
Track rises and falls over time
• Scatterplot
• Matrix chart
• Network Diagram
See relationships among data points
• Bar chart
• Block histogram
• Bubble chart
Compare a set of values
• Pie Chart
• Tree Map
• Analyze a text
• Word tree
• Wordle
See parts of a whole
• Mapping
See the world
9. Create your own visual
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Source: www.wordle.net
George K. Thiruvathukal,
Associate Editor in Chief
Computing in Science & Engineering
Tag Cloud, NSF proposals
10. Create your own visual
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Created in R with word-cloud package. Data from country population. Note that the proportional sizes of China
and India were reduced in half. Source: wikipedia.org
11. What’s up..
• Need to bring in better methods for extracting a smaller
set of relevant data.
• In fact, Big Data isn’t just about numbers or volume, but
the trends – how they change over time.
• Visualization is an invaluable tool in identifying trends
within massive data sets.
• Spotting anomalies as well as outliers.
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12. Going around Big Data
• With the exponential growth in data acquisition and
generation.
• High-resolution sensors, automated accumulation...
• More disk space and more CPU cycles!
• But, there are couple of walls around the CPU,
• and GPUs come into picture!
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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
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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
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Source: Forbes