Itego Master Data Framework (MDF) for Reference Data and Custom Objects
Itego MDF for Reference Data and Custom Objects builds the foundation of Itego RDM and is the accelerator for the creation of customer specific objects at an unmatched price-performance ratio.
In my recent blog I brought Itego Reference Data Management “to the press”. If you wonder how Itego and its partners are successful with RDM standard content and customer specific extensions, take a look at the Itego Master Data Framework (MDF) described in this blog.
MDF has proven to be the main driver for RDM product success and customer adoption. RDM customers can use it for any customer specific enhancement or object. Consider it as an Add-On sitting on SAP MDG for Custom Objects. If you use it, you get an End-to-End framework, which supports a “close to zero effort” interface implementation, extensibility and more.
But let us take a look at the big picture first:
Consider that all reference data objects available in Itego RDM have been built on MDF and you just need to “plug in your new objects”. At the same time existing objects can easily be enhanced which means that adding attributes or complete tables gets as easy as it can be.
Utilizing the MDF components, you get implementation support on every level: Data Model, User Interface, Process Model, Data Replication and Data Load.
Let us start with the basics, the Data Modeling support:
For Data Modeling you can use, enhance or copy delivered Itego RDM Standard Content as needed. Templates are available for features like a comprehensive address management, enhanced audits, meta data management and language dependent texts.
Admitted – these are not the main effort drivers (as we found out at SAP many years ago), it is more in the other levels to come. So please stay curious about the next levels that I will explain.
Next level: User Interface (UI) and Process Modeling support
The MDF Configuration Management supports Rule Based UI Configurations as well as Rule based Validations and Derivations. All can be defined on Change Request Type and Change Request Step level and use multiple Source and Target fields for the Rule Definition.
Example 1: UI Configuration
The figure above shows a User Interface configuration for a Maintenance UI based on CR Type and CR Step. Additional to this, the layout of the Search UI can be configured (Search Attributes and Result List) – not shown here but available nevertheless.
Example 2: Validations and Derivations
In this example you see a configuration for a source field dependent Derivation. Up to three source fields can be used (here only one is used: Division) and the target field (here: Valuation class) will be derived from the defined source values (or source value ranges). Validations and Limitations can be defined in the same manner and Defaulting is supported as well.
More Process Modeling (Workflow) support:
Based on delivered Rule Based RDM Workflows (3-step, 2-step or 1-step for Create and Process and 2-step or 1-step for Load) you can easily derive (copy and adjust) your own customer specific workflow and enhance it easily with additional buttons, actions or steps.
Last (and most exciting) level: Data Replication and Data Load
Overview Data Replication:
The generic MDF Integration delivers the most compelling functionalities, from a technical perspective as well from a cost saving potential. It automatically translates data model entities and attributes into interface messages and attributes.
Every SAP based object, table or attribute can be used in one of the replication modes (described in my earlier blog) basically without any implementation effort. Based on the generic nature of the interfaces; also the Local Area and Harmonization Cockpits are supported. Object specific data exchange is possible as well if needed.
Standard technologies like ALE/IDoc, Data Import, File Upload or Webservices are covered. Based on the Data Replication Framework these technologies are wrapped and equipped for a direct Peer-to-Peer or a Middleware based replication (e.g. SAP PI).
Overview Data Load:
As well as for Data Replication, standard technologies based on generic interfaces are supported for Data Load. For non-SAP objects MDF offers ETL templates based on SAP DS, which (for example) can connect directly to a non-SAP database.
Facts in a nutshell, summary and links to additional resources:
MDF enables Itego to deliver Standard Content for Reference Data at an unmatched technical depth. Based on this, it also enables Customers and Partners to easily create new Custom Objects or enhance existing objects End-to-End (including Data Replication and Data Load).
It guarantees a “close to zero effort” for Data Replication and Data Load, tackling the most complex and effort intensive part of any MDG implementation when it comes to customer specific objects.
If you did not see Itego Reference Data Management in action, consider to watch some demos here: Itego RDM – Demos
Please also consider other SAP MDG Blogs and do not forget to follow my profile and share your feedback.
Thanks for the detailed explanation Michael Boettcher sounds really exciting. Looking forward to using it on one of my customer engagements
Thanks Dilip! Might not take that long anymore 🙂
Btw: the correct link to my profile is https://people.sap.com/michael.boettcher1 ... looks like there is a user with the very same name. For sure it is not a duplicate! I checked. So data quality is good!
Congratulations! A quite comprehensive solution that makes MDG customers life much easier.
Thanks Andreas! For sure it does ... just ask the ones that are already using RDM for MDG