<p>1. Introduction<br> - Background and Significance<br> - Objectives of the Study<br>2. Literature Review<br> - Overview of Business Analytics<br> - Types of Data Analytics (Descriptive, Predictive, Prescriptive)<br> - Importance of Data Visualization<br>3. Methodology<br> - Research Approach<br> - Data Collection and Analysis Methods<br>4. Understanding Business Analytics<br> - Techniques and Tools for Data Analysis<br> - Applications in Business Decision-Making<br>5. The Significance of Data Visualization<br> - Principles of Effective Data Visualization<br> - Tools and Technologies for Visualization <br></p>
This project seeks to investigate the role of business analytics and data visualization in transforming raw data into actionable insights for organizational decision-making. It will explore the various techniques and tools used in business analytics, such as descriptive, predictive, and prescriptive analytics, and examine the significance of data visualization in communicating complex data patterns and trends. The project aims to provide a comprehensive understanding of how businesses can leverage analytics and visualization to gain a competitive advantage in today's data-driven environment
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