An Approach for Forecast Prediction in Data Analytics Field by Tableau Software

Bibhudutta Jena
2019 International Journal of Information Engineering and Electronic Business  
The current era is generally treated as the era of data, Users of computer are gradually increasing day by day and vast amount of data is generated from multiple domains such as healthcare-domain, Business related domains etc. The terminology Business Intelligence (BI) generally refers different technologies, applications and practices used for the collection, integration, analysis, and presentation of information of business related domain. The main motive for Business intelligence and
more » ... ligence and analytics are to help in decision making process and to enhance the profit of the organisation. Various business related tools are used to analyze & visualize different types of data which are generated frequently. Tableau prepared its mark on the Field of BI by being one of the first companies to permit business customers the ability to achieve equitably arduous data visualization in a very interesting, drag and drop manner. Tableau will enhance decision making, add operational awareness, and increase performance throughout the organization The presented paper describes different tools used for business intelligence field and provides a depth knowledge regarding the tableau tool. It also describes why tableau is widely used for data visualization purpose in different organization day by day. The main aim of this paper is to describe how easily forecasting and analysis can be done by using this tool ,this paper has explained how easily prediction can be done through tableau by taking the dataset of a superstore and predict the forthcoming sales and profit for the next four quarters of the forthcoming year. In the collected dataset sales and profit details of different categories of goods are given and by using the forecasting method in tableau platform these two measures are calculated for the forthcoming year and represented in a fruitful way. Finally, the paper has compared all the framework used for business intelligence and analytics on the basis of various parameters such as complexity, speed etc.
doi:10.5815/ijieeb.2019.01.03 fatcat:mnrt62qenrcjdhfs5572kmayfa