The first step in any data visualization consulting process is usually to gain a complete grasp of the goals and data landscape of the client. Next, advisors evaluate the caliber and applicability of the data sources that are accessible. They then choose the best visualization methods and tools based on the objectives and requirements of the customer. Initial visualizations are developed, refined based on input, and validated against business requirements during the critical stages of prototyping and iterative design. During this process, advisors give equal weight to the images' correctness and clarity as well as their usefulness and capacity to influence decisions. After everything is finished, the consultant provides documentation, implementation and interpretation advice, and the visualizations. Training sessions may be a part of post-delivery support to make sure users can use the visualizations for ongoing insights and strategic goals.