Social Customer Intelligence Trends – BRIDGEi2i Infographic

Learn how clickstream data analysis can help e-commerce businesses boost conversions with cross-selling and upselling while improving customer experience.

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.

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.

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.

This blog discusses the applications of Monte-Carlo simulation methods by modeling real-world situations, explaining those using well known and often researched statistical distributions such as the Poisson distribution and then applying optimization models…

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.

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.

Brands, no matter how big or small they may be, a common concern they all share is maximizing their campaign effectiveness. For the sake of illustration, imagine a Mercedes Benz Ad targeting a female aged 22-27, will it be effective in any sense?

The Diwali festival marks India’s biggest shopping season and retailers are constantly looking to lure customers with bigger and better…

One of the most interesting features of Tableau is its capability to understand your geographical data like Longitude & Latitude, Country, Stage, Country, Post Code etc. and plot data as filled maps (or choropleths) or symbols on a map at a desired (and available) level of geographical granularity.

So much has happened in the social space since then and much has been said about the growth of social media — its multiple channels and the enormous scope of its content and subject matter. Social media seems to offer something for everyone.

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

“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.

For years sales and marketing teams around the world have failed to understand the importance of having a data scientist in their ranks. There are several reasons for that but perhaps the most significant one is a failure to recognize and embrace the difference between data analytics and data science.

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.