About Modelling
As the business environment evolves, so do the organization's planning needs. Rather than ignoring the need to change the planning process due to the complexity involved in updating technology, business planners can rely on JustPerform's Intelligent Modelling Capabilities to update their planning models. JustPerform intelligently translates business processes and the Value Driver Tree defined by planners into dynamic models ready for process execution.
Under the Modelling tab, users can create fields, models, and modules.
Modelling User
Modelling involves system configuration related to setting up data structures like models and their corresponding fields and other related information.
Note: A model can meet the business planning and consolidation requirements of an organization. A model is an interface to plan, consolidate, and report data. The functionality of modules and models enables business users to create new modules based on purpose, group these modules under a model, and utilize them to create a report and Value Driver Tree on their own.
Fields
Fields capture metadata information regarding business needs. They guide users to define the level of detail for business needs and maintain master data configuration of these fields on the platform. Fields also allow users to maintain the relationship between the master data as per the organizational structure. Fields are created and categorized into different groups based on their purposes, including:
Metrics: Quantitative measurements that consist of dimensions, including key KPIs, chart of accounts, etc., that drive the planning process.
Enterprise Structure: Dimensions required for reporting in the planning or consolidation process. The business's existing organizational structure with a defined hierarchy can be replicated in the enterprise structure with modifications depending on the planning or consolidation requirements.
System Level: Dimensions required for data classification and populated from the reference app-level selected with predefined master data.
Customized: Based on business requirements, users can create new classifications or groups to maintain specific dimensions.
Models
Module: A module comprises unique dataset combinations with dimensions within a process for data input or reporting.
Model: A model is a functional grouping of modules that form a datastore object for capturing and reporting the data within the modules' dataset.
For detailed information, please refer to the Modelling section.