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Showing posts from March, 2016

Digital Darwinism will Determine the Future of E-Commerce Business Models

The Indian e-commerce industry has been experiencing unprecedented growth over the last few years. Increasing rate of technology adoption and wide access to high speed networks using smart devices has resulted in a high volume of active consumer base. Indian players like Flipkart, Snapdeal and entry of global players like Amazon and Alibaba in the Indian market has created a competitive ecosystem. Indian consumers evolved to a situation where wide variety of product choices across multiple criteria based searching mechanism powered by agile order fulfillment system thus achieving better consumer experience. The clutter caused by continuous increase by the new entrants to the market placed compelled the e-tailers to come out with innovative customer engagement models. In the face of competition, the e-tailers always trudge to bring relevant traffic to the website therefore strategies of viral marketing and search engine marketing have become things of paramount importance. India has an…

Business Analytic Challenges in 2016

Did we imagine hiring the cabs on the fly till a few years back where one had to struggle alike to get a cab on a busy or a forlorn street, let alone a reliable and reasonable one? While a lot of it is attributable to technology progression and simplification of interfaces, a reasonable chunk of credit is also attributed to the service provider's ability to process and analyze the volumes of data that is being churned out every second. The big question going forward is what would differentiate the thousands of new age service providers when the options are aplenty and consumers are highly fragmented. The over quoted Charles Darwin still reigns, although it is 'Survival of the Fastest' this time and the speed depends on a multitude of factors while Need Fitment is a given. The Key Challenges in 2016 for Business Analytics Consumers and Providers are 1. Ability to Evaluate Appropriate Technology for Fast and effective processing of data: There are a lot of stacks that are …