A critical but rarely recognized step in the data analysis is the step before the actual analysis: the preparation of the dataset.  It may be an inherent part of the data analysis but it is often overlooked, understated, and underestimated.  We often hear about the effort required for the data analysis and we conjure up in our head rigorous statistical analysis but the step before the actual analysis of carefully and thoroughly reviewing the data set can be easily missed, overlooked, and…See More

A critical but rarely recognized step in the data analysis is the step before the actual analysis: the preparation of the dataset.  It may be an inherent part of the data analysis but it is often overlooked, understated, and underestimated.  We often hear about the effort required for the data analysis and we conjure up in our head rigorous statistical analysis but the step before the actual analysis of carefully and thoroughly reviewing the data set can be easily missed, overlooked, and…See More

We know there's a vast amount of data out there and that there's an even larger stream of data coming in the future.  With all this data around, organizations are turning to various methodologies in making sense of their data.  Organizations are also turning to traditionally academic approaches such as the qualitative research methodology.  Thanks to modern technology, employee exit interviews, customers' comments, observations, videos, audios, tweets, and blogs are all now almost effortlessly…See More

We know there's a vast amount of data out there and that there's an even larger stream of data coming in the future.  With all this data around, organizations are turning to various methodologies in making sense of their data.  Organizations are also turning to traditionally academic approaches such as the qualitative research methodology.  Thanks to modern technology, employee exit interviews, customers' comments, observations, videos, audios, tweets, and blogs are all now almost effortlessly…See More