Simulations & Forecasts
With the help of the CPM solutions you can quickly and easily create simulation models which accurately reflect the business challenges, because it provides the analytic intelligence needed for evaluating the potential impact of decisions before they are made.
In practice, users enter numeric data at any aggregation level (e.g., Sales per product line), and the changes are automatically allocated upwards (Total Sales) and down to the lowest level of detail (product code) to all correlated dimensions (once the user has updated the sales per product line, the changes will also be distributed across geographic regions, sales channels, customers, etc.).
A powerful combination of native features (real-time data aggregation, calculations and allocations, cells that process formulas and values simultaneously, business rules) make it easy to understand the potential outcomes generated by the KPI variation.
For instance, you can simulate how a change in the fixed cost allocations is immediately reflected in the gross profit calculation for the products, channels and customers, or vice versa.
Similar models can be built for both strategic purposes, such as adjusting the planning, generating scenarios and sensitivity analyzes, and for improving the accuracy and efficiency of the financial planning or the workforce processes.
Move past the limits of the Excel solutions
Forecasts available to anyone
The CPM solution incorporates advanced analysis and data forecasting capabilities in your business processes, so you can keep up with today’s pace of business development
Users can discover trends, generate forecasts, create simulations, and easily make decisions
The automated predictive model of the CPM system can generate highly accurate forecasts in a fraction of the time and effort spent with the traditional systems
Starting from the forecast, by adding additional information to the scenario, the impact of the external variables on the forecast can be easily observed
Users choose the desired number of groups and observation sets (i.g. profitability and turnover), and the system creates instant clusters and makes them available as dimensions for analysis. This integration between the clustering capability and application environment allows not only the instant creation of cluster-based reports, graphs and self-service analyzes but also their use as forecasting or planning units