Mohan | Digital Marketing Consultant

The term Data Analysis is a process in which data sets are analyzed and inspected to collect information. From the collected information conclusions are drawn. A lot of techniques and technologies are used such as cleaning, transforming and modeling of data to take desirable business decisions. Cleaning of data involves replacement of inaccurate or corrupted data. This corrupted data is modified or removed using different techniques. While in transforming process data is transformed from one format to another. Afterwards, data model is created using activity model of detailed data. This approach is applied in a variety of domains such as science, business, research, and technology. Why Analysis Basically Data Analysis is a qualitative and quantitative technique used for enhancing business productivity which can be used for Business to Consumer (B2C) applications. In many of big organizations, data is collected from different portions such as customer, business, and economy. After colle...

Big data has a lot of potential to benefit organizations in any industry, everywhere across the globe. Big data is much more than just a lot of data and especially combining different data sets will provide organizations with real insights that can be used in the decision-making and to improve the financial position of an organization. Before we can understand how big data can help your organization, let's see what big data actually is: It is generally accepted that big data can be explained according to three V's: Velocity, Variety and Volume. However, I would like to add a few more V's to better explain the impact and implications of a well thought through big data strategy. Velocity The Velocity is the speed at which data is created, stored, analyzed and visualized. In the past, when batch processing was common practice, it was normal to receive an update to the database every night or even every week. Computers and servers required substantial time to process the data a...

Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building. Alternatively, as the word indicates, it provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years. Let us Discuss what Big Data is? Big data means too much information and analytics means analysis of a large amount of data to filter the information. A human can't do this task efficiently within a time limit. So here is the point where machine learning for big data analytics comes into play. Let us take an example, suppose that you are an owner of the company and need to collect a large amount of information, which is very difficult on its own. Then you start to find a clue that will help you in your business o...

DATA SCIENCE: AT A BEGINNER LEVEL The field of data is concerned with mining the sheer volume of data flowing into the organizations' warehouses via effective and proper application of scientific and mathematical skills at the same time. As a beginner in the field of data, you are advised to learn a specific set of skills, but at the same time following points need to be kept in mind while pursuing the career in the field of data science as a new entrant. 1. NEVER EVER FOCUS ON THEORETICAL CONCEPTS ONLY Learning the theoretical concepts associated to data science is not an easy task, but at the same time, your effort will be of no use if you are unable to apply your theoretical knowledge to the real world problems. Hence it is always said that learning or grasping the theoretical concepts will not let you experience the way to deal with the complex business problems. For example: Learning the regression theory can be implemented practically on a dataset using any programming langua...

A survey conducted by NVP revealed that increased usage of Big Data Analytics to take decisions that are more informed has proved to be noticeably successful. More than 80% executives confirmed the big data investments to be profitable and almost half said that their organization could measure the benefits from their projects. When it is difficult to find such extraordinary result and optimism in all business investments, Big Data Analytics has established how doing it in the right manner can being the glowing result for businesses. This post will enlighten you with how big data analytics is changing the way businesses take informed decisions. In addition, why companies are using big data and elaborated process to empower you to take more accurate and informed decisions for your business. Why are Organizations harnessing the Power of Big Data to Achieve Their Goals? There was a time when crucial business decisions were taken solely based on experience and intuition. However, in the tec...