50 Best Information Security Courses

Data-Driven Analytics: Practical Use Cases For Financial Services By capturing and leveraging massive volumes of data, financial services companies can capitalize on new data-driven business opportunities. As discussed in my last blog, the first step toward realizing this goal is to create a solid data management foundation that supports the analysis of both enterprise data and Big Data. Once this foundation is established, you can begin implementing machine learning algorithms to support automated decision-making and data-driven process optimization – helping you generate insights that create better customer experiences, improve operational efficiency, and drive sales (see Figure 1). Figure 1. Preparing for data-driven analytics use cases These insights can help you identify the best use cases for data-driven analytics within your business. Following are some of the most effective use cases deployed by financial services industry leaders. Improve the customer experienc

The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever. Now, insurance companies have a wider range of information sources for the relevant risk assessment. Big Data technologies are applied to predict risks and claims, to monitor and to analyze them in order to develop effective strategies for customers attraction and retention. Undoubtedly, the insurance companies benefit from data science application within the spheres of their great interest. Therefore, we have prepared the top 10 data science use cases in the insurance industry, which cover many various activities. Fraud detection Insurance fraud brings vast financial loss to insurance companies every year. Data science platforms and software made it possible to detect fraudulent activity, suspicious links, and subtle behavior

About Since the insurance industry is founded on estimating future events and measuring the risk/value of these events; volume, velocity, veracity and variety of massive datasets has become an essential tool for insurers.  With new data sources such as telematics, sensors, government, customer interactions and social media, the opportunity to utilize big data is more appealing across new areas of this industry nowadays Big Data technologies are used comprehensively to determine risk, claims and enhance customer experience, allowing insurance companies to achieve higher predictive accuracy. Let’s take a look at the major uses of big data and its technologies in the insurance industry; Learn More 1. Risk Assessment  One of the most important uses for insurers is determining policy premiums. Used mostly by automobile, home and health insurance companies, many insurers benefit from telematics (in-vehicle telecommunication devices) IoT devices and wearables (Fitbit, Apple Watc

Big Data in Automobile Industry is taking over the driving seat Big Data – Driving Automobile Industry Crazy You know what? During a long drive, a thought provoked my mind about how easier our lives have been in recent years as we no longer need to be dependent on the roadside shopkeepers (specially PaanWalas) to pave our way through the destination we need to travel to. All the fear of been misguided by our destination has almost been eradicated. Have you ever thought about it? How did the manufacturers make it possible to have a GPS system in the car itself? What is the technology behind this innovation? Is it Big Data? Big Data and analytics have now laid its hands over the steering of the automotive industry and is in full control of it. The concept of connected devices is not only limited to the wearables but has been in the corner for the automotive industry. Apart from the IT industry, the automotive industry has been one of the most benefitted one from Big Data

Big Data in Telecom Industry – Reliance Jio Case Study Big Data in Telecom Industry is the foundation for the digital revolution Telecom connects people to each other from all over the world by eradicating the distance barrier between them. But there are still some barriers that the telecom industry faces in connecting people and it has waited for years to find a solution to deal with this mess. But now Big Data is here to eliminate those and it will easily clear all the roadblocks for the telecom industry. Now!! Explore the applications of Big Data in the telecom sector. Big Data Applications in Telecom Industry These are the top 3 applications of Big Data in Telecom Industry- Network optimization Customer experience Fraud detection 1. Network optimization Network traffic capacity is one of the most valuable assets for any telecom company. Telecom companies through Big Data Analytics are observing and governing their network capacities and this will further faci

Exigency of Big Data in Education Sector with Case Studies Big Data in the education sector offers outstanding opportunities to institutes like digital learning, curriculum customization, improving the grading system, providing career guidance to students, and proposing new learning plans. Since you are reading this blog, you have been to different institutions during your educational journey and these institutions have been collecting your data for different purposes. But have you ever wondered where does the data related to students go? What are these institutions doing with this data? Is this data only for storage? Is it of no other use? Blah… Blah…Blah… Ever thought about all these things? Probably not. Because we never had an idea of how crucial this data is. No Worries! Here’s a piece of information that has answers to all these questions. Why Big Data in Education is needed The use of Big Data in the education sector is significant. It provides innumerable bene