‘With proper governance, life will improve for all’, -Benigno Aquino III, Being a fan of metaphors, I took the liberty to borrow the quotation on effective governance from Filipino president, who […]
Crowdfunding Analytics = New Revelations Ahead
Whilst surfing on the web for ‚wisdom of crowds’ today, I came across a very appealing solution called CrowdSurfer. In a nutshell, CrowdSurfer helps to analyze investments financed through crowdfunding and marketplace […]
Date Science 101: The Rise & Shine of Machine Learning
We are living in a digital era where Customer is the king. Many businesses have capitulated to this new realm and have started interacting with customers dynamically. Today the customers are free […]
IoT Value Proposition for the Built Environment
Defining a value proposition for IoT requires understanding and quantifying the impact IoT has on your costs, assets, and value chain. Essentially, IoT connected devices, including energy and environmental sensors, have the […]
Information Management vs. Enterprise Reporting vs. Analytics
What is Business Intelligence? While there is no universally accepted definition, Business Intelligence is often defined as the people, process and technology used to turn data into information so businesses can make […]
Time Series – Interventions and Contribution
Introduction This article illustrates an analysis of the President George W. Bush’s job approval from January 2001 through Sep 2004 with disposable income excluded from the statistical model. Presidents with a job […]
The Monte-Hall Probability Problem: Let’s try and win a Ferrari by knowing some probabilities!
Heard of the American game show “Let’s Make a Deal”? For those who don’t know, let me describe the game show in short. As a contestant on the game show, you are […]
Text Summarization using Single Value Decomposition
In today’s world with such a tremendous amount of data available on the internet and with same amount of time to actually read everything, it has necessitated the need to explore techniques […]
Two General Aspects of Time Series Patterns
Introduction Though I have discussed other components of time series data, I can describe most time series patterns in terms of two basic classes of components: trend and seasonality. The first represents a […]
Moving averages
In a recent post “Components of Time Series Data“, I talked about decomposing a time series into its component parts and in “Exponential Smoothing of Times Series Data in R“, I talked about […]