Limitations of Traditional Statistics

 Limitations of Traditional Statistics

In my last post, I spoke about the use of traditional statistics. Now, I will cover some of the drawbacks of using traditional statistics to make predictions in the real world.

Traditional data analysis has been practised with structured data, often in a relational database; however, Big Data isn’t as manageable with this structured format.

Traditional statistics is about analysing and summarising data and is suited to processing smaller amounts of linear, repeatable data to draw a conclusion.

The easiest environments are when the data has a stable relationship – e.g. regular exercise increases, obesity decreases.

Therefore, the practicality of traditional data analysis is limited when applied to the real world. More recently, there is now the availability of new large data sets and cheaper and faster computing power. In addition, there has been a surge in machine learning research and development, which aims to automatically discover regularities in data through the use of computer algorithms and generalise those into new but similar data.

Limitations of traditional data analysis. – BiG DATA Blog

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