Limitations of Big Data Predictive Analytical Software

One limitation of big data predictive analytical software is that it requires a reliable set of data of good quality in order to properly process and return high standard analysis. Often projects that require a lot of big data analysis spend a lot of time addressing issues in data of a low quality and it can end up using valuable time required for other aspects of a large-scale project. Data must be of the correct format and relevant to what needs processed and a lot of time can be taken up ensuring that’s the case.

Another limitation of big data predictive analytical software is that it may sometimes be unintentionally biased unless clear boundaries are set and a clear hypothesis or outcome is predicted beforehand. As the analytical techniques used are predictive, there is no way for the processing software or application to carefully observe each piece of data in a data set and find any unexpected results or information, which can often lead to an unexpected result after analysis is carried out.

References : 

https://www.dummies.com/programming/big-data/data-science/the-limitations-of-the-data-in-predictive-analytics/

https://www.forbes.com/sites/audreymurrell/2019/05/30/big-data-and-the-problem-of-bias-in-higher-education/?sh=438c5e745758