Tableau Visualization – ICC Cricket world Cup – A Recap!

During my school days, I remember one of my teachers saying “Science is everywhere.” Today we probably relate more with “Analytics is everywhere.” Sports is no exception. In the past decade, there has been a major drive for sports to become data-driven.

The way customers interact with brands has drastically changed over the past few years. In the words of Forbes contributor Brian Walker, “Digitally empowered customers are firmly in charge, bouncing from channel to channel at the drop of a hat.” It is now more important than ever to intertwine marketing efforts with sophisticated customer relationship management tools to deliver a seamless customer experience at every touch point in the purchasing cycle.

The information that has been captured about customers must be carefully organized, sifted, and then squeezed to separate the juice – the nectar of Customer Intelligence. This is a magic potion that will point in the right direction on where on which customers to shower our love and affection in order to eventually get the best reward.

Gone are the days when a customer was identified as: married, has children, lives in an upscale neighborhood, reads Time magazine and wears a Rolex. Now, customer profile entail aspects such as no. of daily customer visits to the site for the last two months, items purchased by the customer in the last one week etc.

Let us start giving names to the types of customer profiles. Identifying a customer by their attributes is called as “Demographics Segmentation”; to be precise, demographic segmentation consists of dividing the market into groups based on variables such as age, gender, family size, income, occupation, education, religion, race and nationality, whereas identifying customers by their behavior is behavioral segmentation.

An infographic depicting the BRIDGEi2i growth story, people and recognition.

With continued expansion of advanced analytical techniques and practices, one aspect often overlooked is the power of data representation. Visualizations, when done correctly, can re-emphasize strong trends and provoke deeper thought on the subtler ones.

Every Friday, as a big budget Bollywood film with its fair share of masala, thumkas, oomphs and dhishums releases, behind the curtains producers can be seen biting their nails for the movies fate. Will this movie set the cash registers ringing or turn out to be a forgettable dud?

Can’t we pull out our crystal balls, rub that magic lamp and read the tarot cards out of this? Is there a way to save our producers from these weekly heart attacks?

44% of US Private payroll is from small businesses. 50% of all US private sector employees are from small businesses….

Facing weird / random numbers while connecting to a Google Analytics data source from Tableau and don’t have a clue why? Or have you gone one step further and know that it’s a sampling issue when you try to pull >500K records from GA? At your wits’ end on what to do and looking for a workaround? Read on!

Yes, success of any project can be defined by three important parameters, the ability to coordinate an enterprise wide adoption, business impact it brings to the organization and the amount of industry best practices it brings to the organization. With these parameters, we will compare the Managed services model with a piece meal project execution.

The Pursuit of Happyness is a 2006 American film about Chris Garner’s struggle, very beautifully portrayed on screen by Will Smith and a cherubic Jaden Smith. As much as I was moved by the movie itself, what has stayed with me the most, is the title.

I have had the good fortune of having met many executives who have made the leap across the divide from…

Undertaking a survey is not a simple job as it requires a lot of experience with the design of Survey questionnaires and execution. And it does not end there; the raw data gets shape only after the meticulous process of analyzing survey results.

Trust Google to come up with interesting stuff. With a ginormous collection of over 5 million e-books, they created the Google Ngram Viewer app. The purpose is simple – to observe the existential trend of a set of words used in literary works over a period of time. As with most Google creations, the app has great applications – especially for someone interested in Natural Language Processing and the study of evolution of topics.

As an inquisitive NLP analyst, this app really excites me. It helps me tie a few hypotheses together that we couldn’t have decisively done with smaller text corpora.

There are a plethora of articles on the rise of big data and the underlying hardware and software that drive this phenomenon. No, I don’t intend to add to that clutter. This blog attempts to infer the evolution of this phenomenon through a study of the evolution of the words that define it.

Varun is an ambitious architecture graduate who yearns to work in a multi-dimensional business environment. Even though he chose architecture as a major he was open to other career opportunities that might present themselves in the employment market.