Time series analysis SAP BO Vs SAP BPC

Time series analysis is the process of analyzing past data over time to make predictions about future values. Both SAP BusinessObjects (BO) and SAP Business Planning and Consolidation (BPC) provide time series analysis capabilities. However, there are some differences in how time series analysis is performed in each tool:

Time series analysis in SAP BusinessObjects (BO): 

BO provides a wide range of advanced analytics capabilities, including time series analysis. BO provides various time series algorithms, such as exponential smoothing, ARIMA, and state-space models, that can be used to perform time series analysis. BO also provides a range of visualization tools, such as charts and graphs, that allow you to view and analyze the results of your time series analysis. BO allows you to perform time series analysis on a wide range of data sources, including databases, spreadsheets, and web services.

Examples : 

You might use BO to perform time series analysis on sales data to predict future sales trends. You would start by connecting to your sales data source, such as a database or spreadsheet, and then use BO's time series algorithms to perform the analysis. Once you have completed the analysis, you could use BO's visualization tools to view and analyze the results, such as creating a line chart that shows the past sales data and the predicted future sales trends.

Time series analysis in SAP Business Planning and Consolidation (BPC): 

BPC provides time series analysis capabilities specifically designed for financial forecasting. BPC provides a centralized platform for financial forecasting, including time series analysis, and supports various forecasting methods, including bottom-up and top-down approaches. BPC allows you to create and manage multiple scenarios, compare and analyze different forecast scenarios, and provide an audit trail of the forecasting process. BPC provides a more streamlined experience for financial forecasting, but may have limitations when it comes to advanced time series analysis capabilities.

Examples : 

You might use BPC to perform time series analysis on financial data to create a forecast for the next quarter. You would start by defining your forecast scenario in BPC, including selecting the financial data you want to use for the analysis. BPC would then perform the time series analysis using the financial data, and you could use BPC's forecasting capabilities to compare and analyze the different scenarios. Finally, you could use BPC's reporting capabilities to create a report that summarizes the results of your analysis, such as a chart that shows the actual results and the forecast for the next quarter.

In conclusion, both BO and BPC provide time series analysis capabilities, but BO provides a more comprehensive solution for advanced analytics, while BPC provides a solution specifically designed for financial forecasting. If you are looking for a more comprehensive solution for time series analysis, BO may be the better choice, while BPC may be the better choice if you are specifically focused on financial forecasting.