Data Analytics
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About this ebook
Data Analytics
Transform & Evolve Your Business At Short Notice! All You Need To Know About Big Data And Data Science With Step By Step Instructions
We are drowning in information and starving for knowledge!
This book is going to educate readers about data analytics and how an individual can transform and evolve his business in a short period. This book contains step by step instructions about Big Data and Data Science. Data analytics is widely used in business settlements, so I have explained data analytics in comparison with business intelligence. The applications of business intelligence are also described in this book. This book contains detail information about big data analytics and data science. I have also explained the pros and cons of using big data in an organization. There are useful tips and tricks for the BI projects to be applied in companies. This book contains all that information needed to run a successful business. Readers will enjoy each and every chapter of this book.
I have also mentioned the name and contributions of the people in the field of data analytics. I have discussed all the processes relating to science and data with proper steps and headings to make it easy for you to absorb. I have named a complete chapter to discuss the pros and cons of big data analytics as well. I have divided this e-book into the following five sections:
Introduction to Data Analytics
Business Intelligence and Data Analysis
What is Big Data Analytics?
Defining Data Science
Pros & Cons of Big Data Analytics
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Data Analytics - Jeffery Short
Introduction
There was a time when people use to cultivate crops, and all the economic process took place on a field straight at that point of time but now the process is shifted to industries in an organized setting. The things relating to data began to record on papers. Now with the advancement of technology, the things are preserved in the computer in the form of data. This is a modern world of technology in which the number of items and goods is expressed in the shape of data and data is expressed in the form of tables, graphs, and charts. This e-book is going to cover all those methods of formulating an information and ways of communicating data.
At the beginning of a professional industrialized setting, the data was saved in files and paper, but now an organization feels much safer to keep the short and long data in computer files. It is important for the company to take decisions for future, especially when in a competition. The big data analysts are specialized in giving ideas to the organization that is suitable for them in future. The company that uses big data are subjected to move ahead when in a competition.
Whenever the company faces problems, employee solves it in quick time with the help of data science process. The main tip of problem solving is to state the underlying issue. After that the collection of raw data takes place and then individual moves towards the next steps of exploratory data analysis.