SAS data preparation is a platform that can help optimise several stages in data collection and analysis. Despite its importance in analysis, the preparation of data is often plagued with missteps. In fact, research shows that data analysts spend a significant amount of time preparing data rather than actual analysing it. To reduce the amount […]
In a previous blog post, we talked about feature scaling techniques and implemented this in Base SAS using SAS Macros. However, in this blog post, we are going to focus on feature scaling and transformation techniques using SAS Macros. Here I will explain what they are and the scenarios they are best applied to. 5. […]
Technology is developing at a breakneck pace, and analytics is no exception. While SAS business solutions are still the leading analytics platform for most major organisations, other languages have started to make significant inroads into the market, as well. However, there is no denying that SAS is still the preferred choice for most organisations. In […]
Data analytics solutions are crucial for providing value-based healthcare. However, there is one kerfuffle to using them: the quality of insight depends on the data analysed. If the quality of data is poor or biased, then data analytics will yield unreliable results. Therefore, data analytics strategies should clean data, and improve its quality. Better quality […]
Deep learning applications are becoming the next big trend in data analytics. While AI and machine learning are developing at a rapid rate and will have an impact on the industry as a whole, deep learning is already making a tangible mark on the industry. Data analysts are using deep learning to optimise data collection […]