To collect data from various sources and clean it so that it is ready for visualization. This may involve removing duplicate data, correcting errors, and formatting the data in a way that is compatible with the Oracle Analytics Server.
To design and develop data visualizations that are effective and informative. This involves choosing the right data visualization techniques, such as charts, graphs, and maps, and using them to tell a story about the data.
Deploy analysis so that they can be accessed by users also need to maintain the visualizations by updating them with new data and fixing any errors that may occur.
To work with stakeholders, such as data scientists, business analysts, and executives, to understand their needs and create visualizations that meet those needs. They also need to communicate the results of their work to stakeholders clearly and concisely.
Stay up-to-date on the latest technologies and techniques. This includes learning about new data visualization software, as well as new ways to use data to tell stories.
Conducting data analysis
Developing data models
Integrating data visualizations with other applications
Optimizing data visualizations for performance and usability
