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. We, at BRIDGEi2i, performed a simple exercise on the 4th of July trying to put the themes reflected in the inaugural addresses of US Presidents and key events in US history together. Centuries of history crunched into one visual. Let’s see if it can unearth some interesting facts.
Education continues to play an important role in any country’s overall growth. The education market has become more challenging due to the rapid growth and evolution in the modes of imparting education; schools, colleges, private tuition, online education courses, etc.
For a variety of reasons, FTEs or “Full Time Employees” have been the primary currency of managed services contracts, especially those that are outsourced. Chief among them is the direct comparison of the wage arbitrage and the straightforward transition of processes, as-is.
Not far from now, you will have hard time in figuring out whether this blog is written by an machine or a human! Machine learning, the recent buzz word in the tech industry have started closing the intelligence gap between humans and machine.
Open Access is research for all. Open Access was developed as a movement in the academic research to free-up knowledge and it has been adopted over the Internet. Open access means unrestricted access to resources and sharing them with peers in the context of academic research.
IoT technology is in its formative years, but it provides a canvas for multiple technology sub-sectors to innovate. Semiconductor will be one of the most impacted industry in multiple ways. In this blog, we have evaluated the opportunities and challenges for the semiconductor industry in the IoT space.
You might be wondering what Criclytics means! Don’t Worry, I will explain what this means and how this is playing a central role in cricket. Cricket is one of the most followed sport in the world and with the 2015 World cup around the corner, the craze is reaching fever pitch. So in this blog I would like to talk about “Criclytics” – Analytics in Cricket.
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.
Analytics is the discovery of meaningful insights and communicating it in an efficient way using the data available. The advancement in analytics has led to the development of various techniques which help make people use their resources optimally.
Customer experience is one of the most significant factor in hospitality that differentiates one from the rest. It does not matter whether one is travelling on a business trip or a leisure trip with family and friends, they always expect to have the best class experience during their trip.
Over the past decade or so, I have been fortunate to be a part of some intense employee performance evaluation discussions. It was fascinating to watch supervisors’ lock horns with each other in gladiatorial like contests to grab the biggest slices for their employees.
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.
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?