Data visualisation techniques are effectively beneficial to for data streaming in a significant way. Graphical representation is also measured with help of this data visualisation process. Several types of graphs, images, charts and maps are used to maintain data visualisation process. Decisions making process and problem-solving ability is also enhanced with help of these data visualisation procedures. Pie charts, bar charts, waterfall charts, Gantt chart and heat map are used to maintain the data visualisation process. Bullet graphs are also useful for this conception about data visualisation process. Researcher uses “interpretivism” research philosophy, “inductive” research approach and “qualitative” research method to gather information related to this study. Creative and innovative ideas and thoughts related to data are also used with help of this particular data stream mining in a significant way. Data visualisation market value and big data market size is also mentioned in this study. Constant cycles of news and entertainment are also gathered with help of this data visualisation techniques including data stream mining.

Enterprise data framework is the way of protecting various data or information in a systematic way. This is depicted strategic application in the way of major ethical practices in the company. The EDM structure of the company and this maintain data protection with various steps like, data identification, assigned compliance, tackling of different limitations, creation f report and sensitive data description. Researcher uses “interpretivism” research philosophy and “inductive” research approach to maintain proper strategy and process of work. Secondary data are collected by researcher with help of this qualitative research type. Several types of strategies related to data privacy protection are mentioned in this study. Financial and organisational losses are managed with help of this data protection framework. Authorisation and authentication are two types of data privacy processes globally. Data protection framework is also managed with the help of this privacy framework. 4 P’s of data privacy is also mentioned in this study. Security and compliance strategy is also mentioned here. Security threats and privacy threats are mentioned in this study.