Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data. This edited volume is…
"Any research study needs a solid design before data collection or analysis can begin. This design ensures that any experimental evidence obtained by a researcher serves its purpose in making the researcher's argument more robust. Just as an architect prepares a blueprint before…
Why are some countries rich while others are poor? Why are some well governed while others experience frequent conflict? And how do you measure a country's true success anyways? Social scientists have attempted to answer these types of questions for decades, and have increasingl…
Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools…
The digital journey of banking and insurance
This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing. The angle shifts over the volumes from a business-driven approach in "Disruption and DNA" to a strong technical focus in "Data Storage, Processing and Analysis", …
"This book introduces Statistical Quality Control and elements of Six Sigma Methodology, both of which have widespread application. Chapter 1 of this book begins with a brief discussion of the different types of data encountered in various fields of statistical applications. Som…
This book is for any manager or team leader that has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns - …