#data sampling

Modern technology can help free yourself from data sampling. Current computing power has made scalability vastly and available and machine learning algorithms have made the discovery of data quality issues automated and easy. Move on from the old ways of data sampling and learn how to enter the new world of big, smart data.

Increasingly large and diverse data sets allow us to form complex insights. With all this data, why would we limit ourselves by using data sampling instead? Sampling only works when it is put in the hands of data science specialists. In this article, learn about some of the downsides of using data sampling and how it limits and undermines business decisions. Read part one of the case against data sampling.