Data Visualization improves Business Decision-Making.

Organizations generate and collect large amount of data through their daily business activities.However ,raw data presentation in tables and numerical format it is difficult and time consuming for the managers to interpret the data.Data visualizations provides a better way to present the data in form of charts,graphs,dashboards and other visualization techniques which helps manager understand the patterns and trends more easily.There are more techniques like scatter charts,histograms and clustered charts etc,but we are mainly focusing on the particular four types of techniques. This research focuses on different data visualization techniques and identifying which visualization technique is more effective and useful for the decision-makers.The study will compare visualization techniques based on factors such as ease of understanding,ability to find trends and patterns and usefulness in decision-making.The study reviews existing literatures , and a practical comparison conducted using same business datasets represented through different visualization techniques.The study will identify strengths and limitations of each techniques and determine which techniques are more suitable for specific business information and decision-making requirements.