Emerging Technologies

How firms use Business Analytics to solve problems? Today in the day of high consumerism, the demand and competition have exponentially increased and gone are the days when a business could thrive in the name of goodwill alone. For providing the best products and services, understanding the ever-changing market trends is of utmost importance and this is where business analytics comes into play. Business analytics involves the culmination of gross data sales, profits, customer feedback and everything else available and converting it to implementable information which in turn will help in further growth of the business with increase in profit margins or rise in customer base.  Traditionally, calculations and predictions are made to fix the production rate of some products by referring to past sales, available sources, capital at hand, market demand etc., But now with the raging competition in the market and increased customer expectations the whole game has changed. Business ana

Most Used Python Libraries For Data Analytics Any work that is performed in the field of data science or data analytics is incomplete without the proper programming language.Programming language, in turn, is incomplete without libraries. Libraries enable you to use language to its full extent by providing different features to complete the task. The presence of libraries in programming language has increased the power of the language to a great extent. Early in the process, long and difficult codes were written to implement any task, but, now, one simply needs to use these libraries and all the work is done on its own. Python is the one language which is most commonly used in data science since it has hundreds of libraries. Below are some of the most famous and widely used libraries in Python. NumPy When there is a need for data-oriented aspects, this library is the first choice of all data scientists and developers. Registered under a BSD license, it is mostly

Business analytics is implemented by various companies to extract insights from a large volume of data to automate and optimize business operations. Data has become one of the important sources and assets of companies where businesses use business analytics to predict future results to identify designs and links. It is used to perform statistical analysis. Even if, job roles related to business analyst and business intelligence are used mutually. There is an important difference between these professions. The important role of a business analyst is data mining, predictive modeling, multivariate test, and statistical analysis. A career in business analytics in India has risen to be the most preferred choice in the IT and ITES industry. Use of business analytics in Indian business A business analyst needs to aid the decision making roles using real-life situations. Also, it enables business analyst experts to work closely by discussing with senior management. The decision is taken b

The concept of IoT is to improve the overall communication between various network devices. Today, we can easily share any type of information with anyone else. Networking devices can also perform the sharing process without human’s help and it is all made possible by IoT. In this article, we'll discuss the various applications of IoT and its career prospects. Applications of IoT Most people believe that IoT is just an abstract concept and it wouldn’t make that much impact in the real world. However, it is incorrect. Let’s have a look at some of the major IoT applications: The concept of smart homes is becoming popular because of IoT. Smart homes are AI-controlled homes where every home appliance such as air conditioner, refrigerator, etc. works with the voice command. Although this concept is all set for the future, prototype smart homes are being constructed for testing this new concept. Wearable devices such as smartwatch are made possible by IoT. These devices

Data Science is one of the most exciting careers in modern-day business activities where each and every industry seems to be very crazy about addressing their relevant issues and management of operating costs by using data science with high accuracy and speed. There are various tools which the data scientists use to make their project successful. The most useful tool is being Tableau. It is a data visualization tool. It is always easy to understand by visualizing a thing than to read. In the case of data science, visualization tools help to understand the data very easily. Tableau is one of the first growing visualization Tools used in the Business Intelligence industry today. Why Tableau? It helps a user visualize and understand their data very easily. It could connect to any database, and with only a drag and drop could create a visualization in a very understandable way. The real-time data analysis, data Blending, Collaboration of data are the key features of Tableau. Its product s

A recent survey conducted by PwC states that PMP certified project managers are able to handle ¾th of important projects in organizations. Also, more numbers of PMP certified project managers help in the overall success of projects in an organization. Thus, PMP certification plays a very important role for project managers and organizations. In this article, we’ll discuss the reason why PMP certification is so important for a project manager. 1. PMP for Augmenting Resumes Resumes require quality certificates to make them look more unique. There are various certificates which we can attach with our resumes. However, the most important of these certificates is PMP. Organizations looking for project managers tend to choose those individuals with PMP certification. Individuals without PMP certification are mostly neglected. The position of a project manager is in high demand these days. Lots of people try to apply for this post in organizations, as it is

INTRODUCTION The new technologies today are using new methods and ways of storing data. The old methods of storing data are now used less and less. One of the new technologies which replaces storing data on servers is a technology where we can store data online called cloud computing. Cloud computing is an individual branch in data science engineering now. This technology is very helpful. We can save large amounts of data on the servers without any data space issues.  All the new technologies which we are implementing in our daily life are based on collection and storing of the data. Data science, digital marketing, artificial intelligence, and machine learning are some technologies which are being implemented on these machines for providing outputs. All these technologies wheel around the collection, analysis, and management of the data collected by the user. As these technologies are using the data of the consumer for implementations of their own purposes, then it is very

Data Science deals with breaking down of big data to find the latest trends and patterns using algorithms, statistics, and advanced systems and techniques. It extracts information from both structured and unstructured data. Before learning more about Data Science, let us look at what is Data. What is Data? Data is the collection of attributes (Name/Speed/Feature) and objects (Entity/Sample). An object is the collection of variables /characteristics.  The advantages of being a Data Scientist When the world is tech-driven, a lot of data is produced that needs processing which is done by a Data Scientist. With so much of big data and very few Data Scientists, the demand for them is high.  Data Scientist is on the top list of Best Jobs and is being called the “Sexiest Job of the Century”  It is the top paying job even amongst Data Analyst, Data Engineer, Big Data Developer or Analytics Project Manager. Since the competition is less and demand is high, yo