Film is a historical process of a society that is presented in the form of life images. With the Academy Awards festival, every filmmaker will compete to produce a quality that can be enjoyed by all audiences regardless of demographics, age, etc. to create a trend. This trend can reflect the historical record of life regarding life, norms, and human behavior at that time. One example is in the early 2000s, where filmmakers began working on ideas about slavery that were previously taboo to be discussed. The purpose of this research is to provide a big-picture by designing a visualization of the Best Picture nominees in the Academy Awards period 1993 - 2017 in the form of a dashboard and applying the Visual Data Mining (VDM) method to the Tableau software tools. Unlike the related reference research, in this study, the Holt-Winters exponential smooting method is applied to find predictions from several parameter values examined in 2018. The data used in this study were taken from three different sources that are freely available via the Internet. The results of this study are that successfully built five different dashboards to display a visualization of the search for trend patterns against the parameters studied, and also the successful application of the Holt-Winters exponential smoothing prediction method. This study was validated by testing the User Acceptance test (UAT) given ro 5 respondents.