Navision Demand Planning

Essential to customer-focused business planning, demand planning is a core component of your Enterprise Resource Planning system. Navision allows you to manage your resources three dimensionally - by products, time and market. A sound demand planning system is essential to remaining competitive, customer satisfaction, and resource management. Conversely, a poor demand planning system can have terrible repercussions impacting your profitability and damaging sensitive customer relations. Navision puts to work best practices for your firm.

Collaboration Plug-in

A plug-in for Microsoft Excel to load, manage and send back demand plans, implementing a consensus forecasting workflow.

Data Import/Export

Data flow to/from Microsoft Dynamics AX, Microsoft Dynamics GP or Microsoft Dynamics NAV is allowed by a native integration.

Collaboration Features

Planners can provide visibility to forecast plans to other players (e.g. agents, area managers etc.), each with the subset of data of their interest, control the workflow and consolidate their contribution in an agreed forecast.

Graphical Report

Data can be easily presented as a graph according to multiple formats for analysis.

Templates

Users can configure templates to display forecasting data (indicators, warnings) at a given aggregation level in a proper way. A given presentation layout (with multiple views) can be saved as a workspace.

Warnings

Warnings can be defined to highlight particular situations. This lets users work “by exceptions,” focusing on critical issues in the forecasting process.

Filters

Filters can be easily configured in order to load and visualize only those data of interest.

Formula Editing

Formulas can be applied to indicators to create new derived ones (formula indicators). Formulas can be defined through simple editing, or by applying a set of mathematical, logic or special operations.

Forecasting Error Calculation

That statistical error inferred for a forecast model is automatically calculated (absolute and/or percentage error, mean absolute deviation, mean absolute percentage error).

Hierarchies

Hierarchies can be freely defined on each axis, with user-defined labels. Data can be aggregated and disaggregated according to defined hierarchies and indicator statistics.

Indicators

Basic data at any level is collected in so-called basic indicators (e.g. historical data at a given detail level). An aggregation mode can be defined for each indicator (minimum, maximum, sum, or average) to define how to aggregate values. Rules can be defined, for example, to limit cell editing.

Top-down Splitting

The splitting down of a value changed in level higher than the one where it was originally defined may be done uniformly, proportionally (referencing previous values) or related to the values of another indicator.

Best Fit Function

Automatic search for the most indicated statistical algorithm and related parameters to match with a given historical series.