verovis GmbH - SAP Cash Forecasting with Azure ML
This report showcases how to analyse future cash management projections based on historical liquidity data. For this we use data from the customer's ERP System (e.g. SAP) and feed it into self-developed models, implemented with Azure Machine Learning, Azure Data Factory and other Azure Data Services.Contact partner
Financial Cash-in is dependent on customer behavior at payment processes.
Financial Cash-out might vary depending on unplanned changes in delivery dates, fulfillment dates or resource bottlenecks.
High manual effort for the generation of cash forecasts
Low quality of key figures in the forecasting process
Different forecast values between Treasury and Controlling
Self-defeating decentralized measures for cash handling
No use of transactional data for the Management Decision
Mission is to automate, improve and enhance the short- and mid-term cash forecast based on open invoices or other cash relevant transactions
to lift the accuracy of cash forecasts on daily and monthly level
to guarantee liquidity and to focus on the improvement of the cash position
to gain insights on value drivers for the time span until cash in
We provide you, in form of Software as a Service (SaaS), an end-to-end solution to automatically collect, analyze and predict cash-in/out behaviour.
The solution is based on azure machine learning algorithmic and Microsoft Power BI for Reporting and Analytics.
All people involved in activities of CFO-Office.
verovis is a consulting company and Microsoft Gold Partner, specialized on Advanced Analytics for the Finance/Controlling/Accounting function.