Selecting the appropriate chart for strategyĀ presentations
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Selecting the appropriate chart for strategyĀ presentations

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Calories and body weight
Calories and bodyĀ weight
Iām currently reading the book,Ā The Signal and the NoiseĀ by Nate Silver. This is a very good bookĀ for all data science professionals, and isĀ an absolute mustĀ for all those aspiring data scientists. (moreā¦)
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Nonlinear dynamical systemsĀ are an enormous seam of amazing images. TheĀ Ikeda MapĀ is an example ofĀ strange attractorĀ which represents the movement of particles under the rules of certain differential equations. (moreā¦)
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Visualising collatz conjecture in R as a fractal
Visualising collatz conjecture in R as aĀ fractal
TheĀ Collatz conjectureĀ (or hailstone problem or 3n+1 problem) is a problem that is so simple to state that grade-schoolers can understand it, yetĀ has been approached from an innumerable variety of angles and has resisted mathematicians for decades now. (moreā¦)
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Mandelbrot sonification
Sonification is the act of representing data as sound. Any data will do, but data that has a pattern will make better music, and if you donāt know whether your data has a pattern or not, sonification may help you find out. (moreā¦)
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The need for new customer value creation models
The need for new customer value creationĀ models
All business model frameworks have the customer and the value proposition, or offer, as key elements. The value proposition is described as the products or services offered to different customers segments, and is a function of key resources and key processes (or activities) given to the input from suppliers (or partners). (moreā¦)
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Stop competing on price
Stop competing onĀ price
If you are competing by creating a higher level of value, then you canāt compete against lower levels of value and the accompanying lower price. (moreā¦)
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Customer segmentation with R
Customer segmentation withĀ R
In this post Iām going to talk aboutĀ an extremelyĀ important marketing conceptĀ āĀ Customer Segmentation. Central toĀ customer segmentation is the abilityĀ to identify different customer types and figure out meansĀ to find out more aboutĀ those individuals, so that you canĀ acquire or retainĀ more customers. In this post, Iāll demonstrateĀ how customer segmentationĀ can be performed usingĀ K-Means clusteringā¦
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Getting started with D3JS
Getting started withĀ D3JS
D3.js is a data-driven documents library (thus the three Ds in D3.js) written in JavaScript for creating Data Visualizations that can be rendered in a modern web browser. (moreā¦)
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Should you trust sales research?
Should you trust salesĀ research?
Sales research shows one part of a picture. Itās a view from a certain angle, and from that angle, you get a very clear picture of something, albeit not everything.Ā From a different view, you get a completely different picture, which is as clear and compelling as the other view. (moreā¦)
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Another interesting Mandelbrot fractal
Another interesting MandelbrotĀ fractal
Today, I generated another high precision Mandelbrot fractal at 22 decimal places usingĀ the Fractal workbench software thatās the engine behind the fractals in this blog. (moreā¦)
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Mandelbrot monsters
The Monster is acknowledged to be the largest sporadic finite simple group. The Mandelbrot set is recognized as the most complex object in mathematics, as well as being much admired for its aesthetic appeal. (moreā¦)
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Symmetrical Mandelbrot fractal
Fractals are awesome, if you have a good codebase. Iām using the Java-based software I developed during my Bachelors and it could still produce fascinating fractals. (moreā¦)
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Another Mandelbrot fractal
Today, I was playing around with my Fractals codebase and made some changes to the generation parameters with very interesting results and beautiful fractals. (moreā¦)
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Mandelbrot fractal in Java
Mandelbrot fractal inĀ Java
(moreā¦)
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Similarities and Differences Between Business Intelligence, Predictive Analytics & Big Data
Similarities and Differences Between Business Intelligence, Predictive Analytics & BigĀ Data
Recently, Iāve been reflectingĀ on the degree of overlap between Business Intelligence, Big DataĀ and Predictive Analytics, following an event organised by SAP that I was invited to. (moreā¦)
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Tips for better data science
Tips for better dataĀ science
These tips are provided by Dr. Granville, who brings 20 years of varied data-intensive experience working with successful start-ups, small companies across various industries, and eBay, Visa, Microsoft, GE and Wells Fargo. (moreā¦)
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