“Tea is an act complete in its simplicity.
When I drink tea, there is only me and the tea.
The rest of the world dissolves” – Thich Nhat Hanh
A picture is worth a thousand words, and numbers have the capacity to summarize a picture with just a few statistics, especially in today’s data driven world. The right perspective is necessary for the right kind of analysis. It is not just employing the right technique , but rather, it’s implementation determines the efficacy of the analysis and the relevance of the insight. Continue reading There’s No Free Lunch, Stupid →
Its easy for large companies to spend large budget dollars on multi million dollar data initiatives, thereby taking risks that could yield significant rewards. Small to medium size companies dont always have the luxury of a large budget to build their analytics group or solution, and in many cases dont have the time, or patience, to wait for a solution to yield results. Large companies, while having the luxury of a budget, suffer from inertia, sometimes preventing progress.
Continue reading Challenges for Data Science Organizations →
Analytical talent has become the hottest acquisition for companies, and many organizations are scouring for the best talent to bring on board. A question commonly asked is, “Should we hire Ph.D in Statistics or some related field”. The simple answer is, a Ph.D ISN’T required. What is needed for an analyst is a good math background, with some expertise or interest in experimental design.
Continue reading Analytics: Ph.D. Not required! →
Recently, an executive at an online media firm had asked me to take a look at some data. His team had found some interesting results using some correlations of data points for his web activity. Unfortunately, he wasn’t convinced of what they were saying because his intuition was telling him. However, he couldn’t refute the analysis, it was fairly sound. He decided to get another opinion. Continue reading Asking The Right Questions →
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