Data Visualization

 Many companies fail to develop a successful data strategy because they fail to invest sufficient resources in the critical phases of data analysis. In some cases, this is because they willfully overlook these facets of data processing. Usually, though, people just didn't realize how crucial these measures were. Data transformation and dashboard visualization are two processes that are frequently overlooked or given low priority by enterprises. These two processes are essential for transforming raw collected data into information that can be used to generate insights and guide decision-making. Businesses often overlook or skip data transformation, hoping the data visualization phase would compensate for their lack of effort. This results in a  data visualization dashboard  with poorly constructed visualizations that fail to convey necessary business insight effectively. An essential part of any business' BI strategy is the transformation and visualization of data. Organizations

Business and society can be nothing if not driven by data in the contemporary world. Numbers over intuition work every time without fail, unlike instinct, which works only seldom if the conditions are similar to the previous case. Everything that involves understanding, interpreting, and communicating data effectively constitutes data literacy.  Business data visualization  plays a crucial role in this process, allowing businesses to make sense of the vast amounts of data they generate and use it to make informed decisions. An IBM study declares that data quality issues cost firms in the US alone more than  $3.1 trillion annually . Therefore, it is essential to ensure data accuracy, completeness, and consistency to make informed business decisions. To develop  data literacy  skills, one needs to understand the fundamental concepts of data analysis. These include understanding different data types and formats, assessing data quality, and knowing various data analysis techniques.  Fundam