Tableau
According to Sleeper (2018), one of the ways of adding value into big data is through
business intelligence. As per Nair, Shetty, & Shetty (2016), business intelligence entails a
process that uses various technologies, tool, and processes towards collecting, analyzing and
data for the purpose of decisions. One the tools that can be used in business intelligence is
Tableau. As per Sleeper, Tableau is one of the fastest BI tool that is being adopted by
organizations to facilitate the process of simplifying data into visuals that can be understood
easily.
One of the main uses of Tableau is creating visuals from data. The Tableau has the
capability of analyzing data and more importantly, coming up with visuals. One of the main
visuals from Tableau is the case of the dashboards in which after producing various visuals
such as pie charts and predictive trends, these visuals can be combined together to produce
visuals. As per Nair, Shetty, & Shetty (2016), dashboards as visuals tend to carry more
information in which within organization, managers can easily read through the summary
provided by the dashboard.
Additionally, Tableau has the capability of carrying out predictive analysis in which
the platform has various models that can produce trends and forecasts. According to Nair,
Shetty, & Shetty (2016), predictive analysis helps in defining what the future might be. For
example, through predictive analysis, a company can predict the total number sales or even
the customers behavior.
Cluster analysis can also be facilitated with Tableau. Cluster analysis tend to group together