Introduction The advent of big data and growing access to a massive amount of information created an environment where the development of artificial intelligence impact all industries and impacts the way they are collecting, storing and managing data. Nonetheless, any type of data could become a liability if the person or business receiving it would not be able to understand or decode it. This is why data visualization is a crucial business asset that may be used to realize the organization’s full potential with the help of experts in the field and all the insights gained from the processed data. One of the most popular data visualization instruments is Tableau. It has a large customer base and provides every end-user with interactive visualizations that are handling big data operations and datasets with ease (Nair et al., 2016). They also pay close attention to machine learning and artificial intelligence. Another example of data visualization software is Datawrapper. Even though it is not as popular as Tableau, its simple interface attracts numerous customers who need to present statistics and create charts on a daily basis (Jess et al., 2015). A similar instrument called Sisense may be the simplest out of all three, with a drag-and-drop interface that is easy to use and understand. The users have the ability to gather data from a variety of repositories at the same time and perform queries across several dashboards (Cunningham & Stein, 2018). Sisense is compatible with big data operations and may provide the end-users with the answers to any type of problem. Nike A Brief Overview of the Organization and Data Visualization Usage Nike is the most popular shoe and apparel company in the world. It focuses primarily on basketball and soccer players, but also sells a variety of products in the track and field sector. The brand also produces different sports items for children and pays close attention to competitive and recreational activities. According to Trabucchi et al. (2017), approximately half of Nike’s revenue comes from outside the United States, with more than 1,000 retail stores across the world. Data Visualization with Nike Plus The data visualization instrument that is used by Nike is called Nike Plus. The first thing that customers have to do to get the most out of Nike’s data visualization is to purchase all the required components. These include the sensor and the tracking device, where the sensor is expected to read the distance, pace, and calories burned with the tracking device, establishing the connection required to read all the data (Sosulski, 2018). The sensors are only compatible with Nike shoes that have a NikePlus connector. At the moment, there are at least 300 shoe styles that are compatible with NikePlus, ranging from $40 to $350. The tracking device is then synchronized with the sensor to send out the information to Nike servers and help customers store every byte of data related to their physical activity and health condition (Sosulski, 2018). Sports watches manufactured by Nike are also compatible with Nike Plus. All the data from the sensor is transferred to the tracking device in real-time so that the end-user would have the ability to access all the vital information while they run. As the data gets stored online, users can easily track their progress and share the results with the community. How Nike Utilizes Data Visualizati