This article is the first in a series that will provide an overview on an approach to healthcare data analytics, known as Healthcare Informational Data Analytics (HIDA), which allows patients, hospitals, and clinicians to use and share the ever-increasing volume of healthcare information. This...

"Taking the Fear Out of Data Analysis provides readers with the necessary knowledge and skills to understand, perform, and interpret quantitative data analysis effectively. Acknowledging that people often dislike statistics and quantitative methods, this book illustrates that statistical...

As more and more activities in the economy become digitized, analytics and data-driven decision-making (DDD) are becoming increasingly important. The adoption of analytics and DDD has been slower in small-to-medium enterprises (SMEs) compared to large firms, and reliable causal estimates of the...

Big data analytics is the process of collecting, organizing and analysing large sets of data to discover patterns and other useful information. Big Data is usually defined by 3V's. They are Volume, Variety and Velocity. The main aim of this paper is to analyze the given soil and its...

The growth of the availability and use of detailed household financial transaction micro data has dramatically expanded the ability of researchers to understand both household decision making and aggregate economic fluctuations across a wide range of fields. This class of transaction data is...

Big data analytics is the process of collecting, organizing and analysing large sets of data to discover patterns and other useful information. Big Data is usually defined by 3V's. They are Volume, Variety and Velocity.The main aim of this paper is to analyze the given soil and its corresponding...