Tableau Visualization – ICC Cricket world Cup – A Recap!

“Anything that can go wrong, will go wrong”, states Murphy’s Law. The IT set-up of an organisation is a sensitive web of interconnected devices which is eternally on the brink of putting the law into test. Is it possible for setting up an IT infrastructure that is fool proof? The likelihood of problems that employees face with regard to the tools/products that they use cannot be eliminated. The second best solution in this case is to provide for an IT support system. It is a system designed for solving issues specific to an organisation and has been used by many organizations.

If you have a web application that has chart visualizations and customer requests a downloadable copy of the report that can be viewed in PowerPoint, How do you go about it?

Sometimes, organizations look at analytics companies like as if we were snake oil salesmen. The fault, I think is mostly ours. We position analytics as this all powerful elixir that can obliterate business challenges of all types and intensity.

Consider this scenario: As a Digital Marketing Manager, you are assigned a budget for the quarter and pull upon multiple resources within the firm to churn out attractive infographics, well defined guides, promising whitepapers and compelling blog posts back to back; you then share them across social media channels, paid and otherwise, and sit back waiting for the leads to flow in – a job well done right? Absolutely not!

Want to roll a dice? I’m sure you would love to roll. Let’s accept it, we all have been enticed…

With all the buzz around “big data,” there is huge focus on data generated by human behavior in social networks, blogs, chat rooms, comment fields, and more. Using this vast amount of rich information, organizations get a better understanding of customers

Predictive Models are the lifeline of Financial Services organization. On the business side, the ability to accurately predict default is…

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?

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.

Before the era of supermarkets hit our country, the ration of the house would come in from the neighbourhood mom-n-pop store right around the corner. Our grandparents would hand us a ten rupee note and send us off to buy a pack of biscuits, or milk,

In the Part 2 of Google Analytics Googly, we identified scenarios where the Users / Unique Visitors measure numbers don’t appear correctly in visualizations, while connecting to a Google Analytics data source from Tableau, and discussed workarounds.

Like the Arab Spring of 2010 and multiple other movements, there is a silent revolution underway in the form of “Open Data Movement” which is creating a lot of data and revealing insights that are changing the way in which we are living.

17th January, doomsday in the History of Competitive Sports. Lance Armstrong’s confession raised a question mark on WADA (World Anti  Doping…

BRIDGEi2i’s ”Vizards” have put together a detailed Tableau Visualization that provides a detailed overview of all Olympics events in succession starting from 1896 till 2008 including medal information about the independent teams.

With reasonable experience in the field of Analytics, when i look back now, I must give full marks to my Uncle when it comes to Customer Intelligence. And I assure you again, he knew none of those analytical terms. I still remember spending my entire summer holiday at his shop looking for chocolates, making friends and understanding the business. It now occurs to me that he implemented all the vital customer intelligence strategies very proficiently.

Here are some anecdotes from a small town vegetable shop in Southern India and customer intelligence lessons for today’s retail world.