Data Visualization
Data visualization represents information in graphical format using charts, graphs, maps, and other visual tools.
Michael Scofield of Loma Linda University demonstrated different techniques for human beings to use for data visualization. He stated that graphics have several goals: “to figure out what is going on” and “to explain to decision-makers what they need to know about reality.” Data visualization helps “see things that other people cannot” and provides “unique russia whatsapp number data insights and exclusive understanding of what’s happening.” Knowing the audience and normalizing data to acknowledge context are the key success factors in expressing information.
Kulev Rail, Dr. Deepak Singh, and Dr. Arunkumar Ranganathan discussed technological developments in data visualizations. According to them, data visualization is a dynamic, human-centered, analytical, and discovery process that requires multiple methods. Three factors ensure good data visualization: data, design, and function. Advanced data visualization is focused on complex data and includes interactive dashboards, 3D visualization, augmented or virtual reality, etc. The benefits of advanced data visualization are improved operational efficiency, enhanced risk management, increased collaboration, reduced costs, and improved decision-making.
Data Analytics
According to Amazon, “Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems using data. Data analytics can shape business processes, improve decision-making, and foster business growth.”