Diabetes Insights from Social Media 24/12/13
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Social media is a rich source of user conversations and opinions, data from which if processed in a structured manner can provide decision makers in the health care space with valuable information. 

 

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Categories: Social Media
Text Analytics: ‘Mangalyaan’ as seen on Twitter 23/11/13
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Social media and interplanetary mission -- what do they have in common? Well, they have in common the Mars Orbiter Mission, also known as ‘Mangalyaan’. It was launched on 5th November by the Indian Space Research Organization (ISRO). It generated a lot of interest across the globe among millions of people on Social Media networks. In this blog, we analyze how Twitterati reacted to this news. Asia was by far the most interested in the subject, covering 74% of all the tweets on ‘Mangalyaan’.

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Categories: Social Media
Social Media Text Analytics - Samsung Galaxy S4 23/08/13
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A Case Study on Social Media Text Analytics -- using Samsung Galaxy S4 as an example

The text feeds from Twitter and Facebook have been great sources for text analysis. Given the richness of data from such sources, text analytics has been widely discussed in the analytical community. The contextual nature of words, however, makes drawing conclusive insights on let's say, sentiments, rather difficult.

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Categories: Social Media
Demand Forecasting Blog Series : Part 3 14/08/13
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Part III: Important considerations in Forecasting

This is the last blog on Demand Forecasting series and we use this to write on the topics we left uncovered (seasonal and intermittent items) and also to enumerate some of the lessons we have learnt overtime.

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Categories: Retail
Demand Forecasting Blog Series : Part 2 11/08/13
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Part II: How do I model cannibalization between similar skus, items or products?

This is a follow-up to our blog Demand Forecasting: Part I: How much do I order given point-of-sales, promotion history and seasonality patterns. In this write-up we discuss ways to model cannibalization – the effect of promotion of one item on a substitute item.

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Categories: Retail
Demand Forecasting Blog Series : Part 1 08/08/13
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Part I: How much do I order given point-of-sales, promotion history and seasonality patterns?

Demand forecasting is as much an art as a science. By this we mean that close collaboration between assortment planners or merchandisers and the analytical team is paramount. We will cover this aspect in greater detail in Part III: Important considerations in Forecasting. Please browse our case studies for live examples.

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Categories: Retail
What Your Car Tells About You - Part 2 10/05/13
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In our previous blog post, we outlined the differences in movie preferences of various car owners – well, turns out their music playlists are likely to be different too. Looking for statistically significant associations in social media, analysing data from thousands of people, we noticed that owners of different car brands had marked differences in music preferences as well.

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Categories: Social Media
What Your Car Tells About You - Part 1 06/05/13
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A couple of us belted out popular perceptions and stereotypes as cars passed by the café outside the Tiger Analytics office. 

Red Corvette : Mid-life crisis

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Categories: Social Media
The Deadliest Jobs in America 18/04/13
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Who do you think has the most dangerous job in America -- Miners, Fire-fighters, Soldiers, Fishermen, or Truck Drivers?

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Categories: Insights
Big Data: A Misnomer 28/01/13
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You can't get a cup of coffee these days without hearing another person talk about Big Data.

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Categories: Big Data