The data flood that you are witnessing every minute is trying to tell you hidden secrets about your business growth, are you listening? In the previous years, we may have taken a glass half empty perspective for the analytics sector but this definitely is about to change now.  Big data analytics  is indeed one of the fastest growing markets and is expected to mature in 2016 and…

Big data analytics finds immense application across the entire business. One area which can have direct, measurable and visible impact is the area of customer service. Data has been used since time immemorial to improve customer service, but it is only recently that the full power of predictive analytics is being applied in this function. Organizations, both large and small, are using big data…

“Predictive analytics” is a commonly used term today. Wikipedia describes it as ‘encompassing a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical…

 Consistency is critical to business since it ensures results that can be tangibly seen. In insurance industry, the policy is profitable for the insurer only when the policy persists within the insurers’ portfolio for a certain period of time. Typically Life insurance has a longer persistency period to recover the costs and become profitable compared to a general insurance portfolio.…

Everyone has been talking about how social data can help them retain customers and improve revenues and increase profit and get more customer and get more revenue and … you get the point.…

 Unsupervised learning algorithms are machine learning algorithms that work without a desired output label. A supervised machine learning algorithm typically learns a function that maps an input x into an output y, while an unsupervised learning algorithm simply analyzes the x’s without requiring the y’s. Essentially, the algorithm attempts to estimate the underlying structure of the population of x’s (in other…

There is no doubt that when an enterprise’s customer base and product portfolio grows, it becomes even more complicated to manage multiple relationships with the customer across products, channels and geographies. Most organizations have a simplistic approach to manage this challenge: Customer Single View.…

Picking up from where we left off in the last part, here is a list of some more of the big data terminologies simplified…

The big data analytics space is evolving at a tremendous speed, so is the terminology used in the space. This terminology is sometimes really hard to understand. Here is a list of some of the big data terminologies simplified.…

Each organizations these days is after collecting data about its customers. But very few use this data to optimum use.

Most of the organizations are clueless about the huge chunk of data that is available with them. Many companies expect the data to answer their questions. But they forget that data doesn't answer on its own. It is the analytics which help the companies give meaning to the data and provide solutions to the queries. So it is important to know the questions one has to…

The Banking industry generates a large volume of data on a day to day basis. To differentiate itself from the competition, banks  are increasing adoption big data analytics as part of their core strategy. Analytics will be the critical game changer for the banks. In this infographic we explore the scale at which banks have adopted analytics in their business.…

In an era of information, the use of Big Data analytics in the banking and financial services in India can be traced back to the early 2000s and the bank with the most actionable insights is the winner. While more than 70% of the banking executives worldwide say customer centricity is important to them, this requires a deeper understanding of customer needs. However, research has indicated that only 37% of the customers believe that banks understand their…

With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns…

The importance of gathering and managing the right consumer data, applying analytics to generate valuable insights and translating those insights into effective front-line action cannot be emphasized enough for companies, especially those that are directly consumer-facing.

Every day, retailers and FMCG companies have access to vast amounts of data, capturing information on every transaction at every store.…

While doing a daily reading exercise about the innovations in the field of big data, I came across this interesting case study. 



One of the world’s largest companies which provide refrigerated trucks wanted to increase their operational efficiency along with productivity. With this set objective they collaborated with a risk management application. The results were amazing. There was a reduction in the number of accidents by 15%. On further reading, I came across even…

Huge amounts of crowd is expected to turn up at the Nasik KumbhMela this year. Along with it comes good planning and technological innovation. This infographic explains how big data influences preparations for the Kumbh.…

A large number of organizations are now turning towards advanced analytics in order to seek solutions to their ever increasing organizational problems. Moreover, organizations are now facing intense competition; understanding the consumer needs is the key to gaining success. Like other industries, the insurance industry is now releasing the benefits of using analytics for crafting products, segmenting markets, creating unique distribution strategies, handling inforce business, making…