Trend Analyses for Blockchain Technology Innovations Using Data Analytics

Data Visualisations have been identified to play a critical role in business decision making, wherein it acts as a bridge between decision makers and the vast amount of unstructured data. Blockchain applications are being carefully assimilated into the technological space due to Bitcoin's rapid rise in the financial market. Consequently, researchers, technologists and cryptocurrency investors can understand the posture of this technology that leads to articulate technological and financial investment strategies. This paper investigates the role of data analyses in the prominent implementation of Blockchain. We characterise the adoption of Blockchain technology by analysing two types of datasets which are text and multivariate by fitting multiple time series and geographical location to reveal unrealised opportunities for potential income and innovation. In addition, to obtain the useful trends over time a temporal data analyses to fit the Twitter dataset, was conducted. With the automated knowledge discovered this will supplement the decision makers' demand to have a valuable data-driven business strategy, which in return will deliver business or investment opportunities.