Tableau Visualization – ICC Cricket world Cup – A Recap!

“Engaged employees stay for what they give (they like their work); disengaged employees stay for what they get (favorable job…

We, the BRIDGEi2i Marketing Team, pack in a lot every month; Campaigns, Thought leadership, SMM, AR/PR, well…you know…the works. Somewhere in the midst…

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.

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.

Developers are often interested in learning about the software industry’s best practices, so that they can improve the robustness and efficiency of their code. The best way to learn is by reading the source code of programs that are in production and running heavy workloads.

Consider a simple problem Insurance sector problem of recommending a product to a potential customer. The recommendation is based on certain customer attributes, similar to predictive analytics in target marketing.

Virtual Reality (VR) is no longer a technology reserved for the gaming industry. The applications are manifold in industries such as education, engineering, healthcare, insurance, sports, telecommunications etc., Two things occurred to me when I first tried google cardboard was:

How immersive the experience would be in a much more technically crafted devices like Oculus Rift and
What would be the current and potential enterprise applications and implications of this technology for insurance industry.
Unlike other technology disruptions like telematics, IoT, mobile, digital and cloud in insurance industry which I have outlined in one of my previous blog, VR is yet to catch up in terms of adoption by insurers. However, there are some applications from which the early adopters of this technology have started benefiting.

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.

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.

“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.

Yes, retail is a trillion dollar industry worldwide. Yes, your consumers will continue to buy as you cater to their every need, want and desire ranging from camping supplies to handcrafted jewelry to custom-made shoes.

The human foot forward into the 21st century has ushered the big guns of globalisation and modernisation to severely impact every step taken. Numerous products, commodities, amenities and services are at our disposal making the desire to availability mapping incredibly robust.

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.

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.

We all know that analytics is playing a very big role in making correct decisions by taking data into consideration. Now in this blog, I want to discuss how analytics is playing a role in sports. Analytics in sports is divided into three broad areas.