IBM Planning Analytics done right
IBM Planning Analytics done right
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Graphyte's RDF suite simplifies, optimises and standardises common and repetitive tasks within IBM PA, especially in data, metadata, audit, and process management. RDF is a set of foundation code that can be integrated into clients' existing IBM PA model, offering several advantages.
Key RDF advantages:
- Dynamic model configuration to enable continuous planning and scenario modelling
- Reduced development time and cost
- Powerful, configurable and parameterised data flows and transformation
- Configurable dimension build and transformation
- Ability for clients to take greater control of their model via logical configuration from the front-end (PAW)
- Optimized efficiency of processing
- Coding consistency, minimisation and standardisation
- Comprehensive processing audit trails
- Improved data reliability and ease of reconciliation
- Improved automation and reduced on-going maintenance
- Greater flexibility for future structural changes
- Ensures development consistency and best-practices are maintained going forward
The majority of cube data in PA is either imported, exported or transformed in some form or other. With RDF's Dataflow and Transformation module we can configure cube data management within a central module and front-end, without the requirement for custom processes.
Key features:
Supported data source to target movements include, ODBC/CSV to Cube, Cube to Cube, Cube to ODBC/CSV.
MDX and Bedrock are fully supported.
Various element mapping options between data sources.
Metadata mapping between data sources:
Data value manipulation between data sources:
Sequential data processing in a layered and filtered manner, often necessary for cumulative and interdependent calculations. (e.g. Allocations, inter-company).
Error handling options (Skip record, assign default element, abort).
Configure and manage dimension builds through a central module and front-end.
Key Features:
Process Audit Tracker
Module to provide full audit trail of all processes run. Information in the audit includes:
Inter-cube Reconciliation
Module to identify reconciliation issues between cubes via a report and/or email notification. For example, a daily check of Sales cube forecast numbers agree to those in the GL cube's sales account.
Chore Management
Module to simplify the management of processes within a chore. Allows for simple configuration of parameters per process, as well ability to flag processes active/inactive.
Email Notifications
Module to manage email generation based on cube view criteria. For example, inter-cube reconciliation variances, overnight error logs.