Financial Forecasting

Key financial figures serve as decision support, but forecasting them often resembles looking into a crystal ball. In increasingly globalized and volatile markets, planning with the established forecasting methods, whether of sales, revenue, liquidity or other planning variables, is becoming more and more difficult and imprecise. At the same time, accurate forecasting of planning variables is more important than ever!

Accurate forecasting not only offers competitive advantages, but is also essential for companies to survive. With Financial Forecasting, we offer you the opportunity to increase your planning accuracy and to make your planning processes more efficient.

Various time series analysis and machine learning models are used in forecasting key financial figures. While classic forecasting methods focus on internal data and budgeted figures, powerful predictive analytics models can be used to take into account a wide range of internal and external drivers in addition to historical data. In addition, they can be used to better map interactions between the various influencing variables, which is where classic forecast methods quickly reach their limits.

Thanks to the learning ability of the algorithms used, forecasts become increasingly accurate over time. The numerous, time-consuming manual planning activities are also a thing of the past with the use of predictive analytics models. The intelligent models independently identify trends, seasonalities and patterns in historical data and use them to create forecasts. Based on the forecasted key figures, subsequent processes in the company can be sustainably optimized. Use your liquidity forecast to improve your overall liquidity planning and financing strategy.

Predictive analytics models can be used to create forecasts for resources and key figures in a wide range of business areas. Use planning metrics and key performance indicators across departments and leverage them across the enterprise to optimize processes.