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Financial Forecasting

Planning reliability even in turbulent times: Increase planning accuracy and make planning processes more efficient with financial forecasting based on predictive analytics.

predicting planning figures

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.

01

automation

Automate your planning process with predictive analytics models and save time and resources.
02

accuracy

Increase your planning accuracy by integrating external data and using self-learning algorithms.
03

identification

Using predictive analytics models allows you to identify and evaluate drivers.
04

simulation

Map and evaluate different scenarios by parameterizing the forecast.
05

optimization

Use the knowledge gained from the forecast to optimize your processes.

ai avoids the unreflective
transfer of insights from
the past to the future.

Mathias Bednarz | Member of the Executive Board

time series analysis & ml in use

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.

process optimization

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.

liquidity

Keep an eye on the development of your cash flow and other key figures on the basis of precise forecasts of your incoming and outgoing payments. Derive measures for optimal liquidity planning and financing strategy.

balance sheet

Get an overview of the development of important balance sheet items. Use this to derive balance sheet ratios such as debt and equity ratios, return on equity and also to manage your working capital.

distribution

With the help of the forecast of the future sales and turnover of your company, important measures for sales and marketing can be derived in order to counteract negative developments.

stock

Monitor the development of your inventories at the same time by forecasting sales and turnover. Avoid delivery bottlenecks and high capital commitment costs through optimal warehouse management.

purchase

In addition to forecasting sales to determine resource requirements, use the forecast of price developments to also keep an eye on cost recovery and profit.

Get in touch with us!

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Robin Richter Solution Expert