Analytics Solutions as Movie Titles – Posters

The world is moving towards quantification of customers, quantifying every aspect of customer experience however great success stories still stems from the fact how your customers feel about your product. We can easily define customer loyalty as a metric of success, but …

For classifying or clustering data in the context of a machine learning problem, the first step is to create a representation of data, usually called the Feature Vector. Datasets consisting of images or audio files have feature vectors that are already in numeric form.

Over the last 10 years, Business Analytics has become a buzzword. Pioneered by companies like General Electric, Walmart, American Express, Netflix, Amazon, etc., it has today spread across industries and become the cornerstone of many companies. Companies are using analytics in making data driven business decisions to accelerate business impact.

The most talked about areas in Analytics today are Business Intelligence (BI), Big Data, Visualization, Data Mining, Predictive Modeling and Optimization. But another, equally important area in Analytics, ‘Research’ has seldom been spoken about much.

It is an essential activity for every business to identify and analyze brands, products, services or attributes that have the greatest influence on the final target achievement. It also enables organization leaders to get an idea of the possible impact on business outcomes if they work on different factors that drive performance for a business or organization. Key driver analysis helps in solving this problem by recognizing the importance of utilizing data to make evidence-based decisions.

There was a time when I used to love going out to shop. Gadgets fascinated me and I loved the…

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.

A US-based client in the education industry wanted to analyze its learning centres across the USA and improve overall occupancy rates by optimizing number of centres, and increasing conversion rates and retention among high value customers.

The retail analytics market will likely be valued at $5.1 billion by 2020. Here are six major retail analytics trends that are driving the industry.

School and collegiate education today has changed a whole deal.  It has seen a sea change from the pure chalk…

BRIDGEi2i has developed a Pokémon Dashboard, which encourages you to Keep Calm and Go Catch’em All. The dashboard allows you to choose the best Pokémon based on a combination of two critical abilities.

In the previous blog, we had touched upon “How Analytics is influencing player and game performance”. In this blog, we aim to elaborate on the business-oriented applications of Analytics in sports.

Today’s enterprises capture a lot more information about their customers, employees, budgets, spends, market and competition. There is data from the point of sell (like order size, shipment volume, price, revenue, margin details etc.), before sell data (e.g. sales pipeline line, marketing spend across channels etc.) and after the sell data (e.g. customer service information, product usage patterns etc.) All business functions like sales, marketing, pricing, supply chain, finance, risk management, information technology, human resources, etc. have a lot more access to various forms of structured and unstructured data available inside the enterprise and from sources outside.

A Recommendation Engine plays a vital role in increasing the chances of a user buying a product. In today’s world, with tons of data from searched products available (thanks to the digital data explosion), it is very easy to find what people are likely to buy – just by looking at their ‘intent’ data.

What do Snowden, Nandan Nilekani and Mark Zuckerberg have in common? Well, they are all related in one way or…

Model Monitoring is a branch of governance and regulations theory defined for financial services. It is proven that unregulated and ungoverned business often leads to inefficiency. More precisely, it studies the effects of changes in the internal and environmental systems at the macroscopic scale by analysing the collective motion of models using analytics. Though there are many important model monitoring principles that govern the behaviour of models, the most critical principles are defined in three basic laws of Model Monitoring,