Applying Blockchain Technology to Secure Dataset Used for Data Analytics

In order for an organization to gain an edge over their competitor, they must be able to make the right decision. Using machine learning models such as XGBoost and Artificial Neural Network during data analysis presents a way to obtain the information necessary for making decision. However, there is a need to secure both the data and the results from analysis to maintain data integrity whilst ensuring that malicious actors will not be able to access. The solution is to merge data analytics together with a private blockchain by storing the data and the result on the blockchain. Using smart contracts for access control, this ensures only users with permission will be able to access whilst maintaining the integrity of the data since it cannot be modified.