1 INDIVIDUAL PAPER NO.2 BUSI 650 - Business Analytics Data Visualization in Big Data Analysis The data visualization has become one of the key technologies in business analytics. Many organizations are utilizing various data visualization tools in analysing structured data and improving business decision-making. The big data consists of both structured and unstructured data. Unstructured data can provide rich and fascinating insights. With the right tools, unstructured data can add a depth to data analysis that could not be achieved otherwise. The organizations are also interested in analyzing unstructured data, often combining it with structured data to make business decisions. This is a research-oriented assignment. The assignment is to study current issues and technologies in both data visualization and big data analysis; subsequently identify challenges and opportunities to business decision-making. Some key points for you to consider: 1. What are characteristics of data visualization and its values to business decision-making? 2. What are characteristics of 'big data analysis" and its values to business decision-making? 3. What are current practice and technologies in applying visualization in big data analysis? , 4. Discussion on potential game-changes in business (opportunities and challenges) with the technologies. Specific requirements 1. You must research at least three recent (i.e., less than 10 years) peer-reviewed articles, preferably from highly regarded industry sources, e.g., Gartner, IBM, Oracle, SAP, McKinsey, Accenture, Deloitte, Capgemini. 2. Other than APA formatting, the structure for the paper is not fixed, if there is a logical flow of ideas. The length of the paper is not an issue, but preferably in range of 3000 words, excluding cover page and appendix.