Data visualization is one of the leading trends in modern business that has been developing in the last few decades. Data visualization tools have evolved in response to the ubiquitous growth of Big Data. Businesses faced the problem of deriving information from large groups of data that were found in opaque tables. Business intelligence is considered a business reporting technique that encompasses a variety of methodologies and tools. According to J. Ranjan (2009), business intelligence methods include data visualization, scorecarding, management information system, data mining and storage, analysis, predictive modeling, OLAP (Online Analytical processing) and similar. Of the various methods, data visualization plays an important role because it is the connection between the complex system of the business organization and the end users which are presented previously unorganized and unrelated data in a clear and understandable way. Visualization of business data is also significant because it provides effective and easy access to the data used in decision making. This paper will consider data visualization tools and their impact on decision making. In addition to the tools themselves, it is important to understand the various ways in which data can be displayed and to choose a graphical representation that is the most representative of the data displayed. In order to be able to derive information crucial for the organization from the data, it is necessary to follow certain steps in creating a visual presentation that will include relevant and timely data. he most popular software is Tableau on which the work will be based and the work will be accompanied by examples of this software, other well-known visualization tools will be described. To understand how visualization tools influence business decision making, it is important to consider the use and application of different tools in business organizations.