Investigate the use of advanced analytics and big data in project analysis. How can organizations leverage large datasets to make more informed project-related decisions?

Explain in your own words how correlation and analysis of multiple sources of data can impact organizational decisions.

Next, your task involves analyzing data collected from various sources, interpreting the findings, and presenting them effectively. Based on the concepts and techniques discussed in Module 9:   Describe the process you would follow to analyze both qualitative and quantitative data collected from your research. Include specific methods (e.g., content analysis, thematic analysis for qualitative data, and statistical analysis for quantitative data) and explain why these methods are suitable for your project. Propose strategies for effectively presenting your findings. Consider different presentation methods (e.g., structured notations, storytelling, graphical representations) and justify which method(s) would be most effective for your audience and study goals. Note: Your response should demonstrate a comprehensive understanding of the principles and practices of data analysis, interpretation, and presentation in the context of human-computer interaction.

Discuss the challenges associated with big data analysis and the potential benefits it offers to businesses. What are some advanced techniques for handling and extracting insights from large datasets?

Prioritize _________ is one of the main activity of analysis.   Prototype   Data   Requirement   Information