Designing Data Warehouse For Forecast and Data Visualization of Sales Nutrition Products

Sales data can be processed in such a way that it become information is used as material for analysis and consideration making decisions. This study aims to visualize PT XYZ sales nutritious intake products predict figures 2018 2019. Data obtained directly from by submitting request withdrawal. on of beverage the last 5 years are using Pentaho tools with ETL method (extract, transform, load) then predicted 2019 R programming language ARIMA Holt-Winters methods after which will visualized Powe BI so display presentation more interesting informative. To find out compatibility forecasting method, writer compare RSME numbers both use smallest number.