SAP Metadata Discovery
Access, understand and exploit your SAP metadata with Safyr®.
Powerful exploration software for data professionals.
SAP Metadata Discovery
Access, understand and exploit your SAP metadata with Safyr®.
Powerful exploration software for data professionals.
Safyr® for SAP Metadata Discovery
Whether you are looking for a single table in SAP (e.g. KNA1, BSEG, LFA1), with its business names (e.g. General Data in Customer Master, Accounting Document Segment, Supplier Master) and relationships with other tables; or thousands of tables for your enterprise data catalog Safyr for SAP will be of value to you.
Safyr for SAP is a powerful exploration technology that data analysts and architects use to gain insight into and exploit the metadata in their own customized SAP systems. This is a critical task for accelerating effective delivery of a wide range of Information led projects.
You can use it to speed up the source data discovery process for these and other projects such as data governance, data warehouse, master data, data integration, data migration and more.
Customers use Safyr to solve the 3 challenges associated with SAP Metadata Discovery.
These are:
Discovery: Locating the source of the useful, business ready metadata in your applications. There is very little of any value in the data system catalog. The useful metadata is in a series of data dictionary tables in SAP.
Scoping and curation: Once the metadata has been located, the next challenge is to find the table or tables necessary for your task and save them for use in other tools and systems.
Delivery: The final hurdle is to provision the metadata into other tools and technical formats. These include data catalog and governance solutions such as Collibra, Informatica EDC, Alation, Infogix, ASG and Adaptive as well as data modeling tools such as SAP PowerDesigner, ER/Studio, erwin. Or you might want to use the information in Excel, CSV, XML or JSON formats.
Know your Metadata
Safyr is particularly useful when you need to:
- Rapidly identify and group the tables and relationships behind key business objects (e.g. Bill of Materials, General Ledger).
- Find and analyze individual tables in SAP
- Identify tables associated with SAP programs, components and transactions
- Locate Personal Data fields in a SAP instance in support of GDPR, CCPA or PII projects
- Compare multiple SAP instances to quickly identify differences
- Share SAP metadata with third party software products to accelerate your data catalog, data warehouse, data governance, data modeling, master data or data migration and integration projects
Safyr works with any ABAP-based SAP system including ECC, CRM, SRM and S/4HANA.
“As a result of our investment in Safyr we are able to take a more agile approach to meeting the demands for new reports and data within acceptable timescales and the business’ trust in the information they provide is growing”.
From Scott Delaney, Hydro Tasmania
“After doing a quick prototype metadata extract from SAP, the response has been very positive! I’m really grieving for the lost years without access to this tool.
It has met and exceeded my lofty expectations.”
From Brian Farish, AMD
Facts and Features
Comprehensive Discovery Features to Allow Exploration of SAP Metadata
Safyr reveals details of all the tables in the SAP database, including any added by the SAP user (normally ‘Z’ tables).
All the information displayed is drawn from the Data Dictionary tables in SAP, in the language the user chooses. It’s easy to search the tables and to see the numbers of relationships to other tables in the SAP system, and the number of Rows in each table.
Create Business Artefacts Representing the Data Structures you Need
Each table in SAP can be expanded to show all the Fields, the Primary Key and Foreign Keys and a detailed description of each Field, all based upon the definitions in the SAP Data Dictionary.
Learn how Tasmania Hydro used Safyr to infer data models from customised SAP implementation, download the case study.
See Parent and Child Tables for a SAP Table
Safyr extracts Relationship information to help the user understand how SAP joins tables. Using this information, details of the related tables for a given table can be displayed. In addition, it’s easy to filter out any of the related tables that do not contain data.
See SAP Data in the Context of Where it’s Used
Safyr doesn’t just show details of Tables and Relationships in SAP. It also harvests metadata on SAP Components, Development Classes, Programs, Functions and Transactions. These are revealed in a searchable tree structure, making it easy to find, for example, which Tables are referenced or updated by a given Program.
Visualize Tables in SAP as a Data Model
Safyr users can group Tables into Subject Areas and then visualise them as an Entity Relationship diagram, either using Safyr’s built-in ERDiagrammer, or a range of popular data modeling tools including ERwin, ER/Studio and PowerDesigner.
An accurate and relevant SAP data model will often be an important step in understanding SAP data.
Request a SAP Data Model that best fits your requirement.
Pre-Built Subject Areas of Tables in SAP
Not only does Safyr let you browse and build your own Subject Areas, but we deliver over 100 ‘pre-built’ Subject Areas based upon popular grouping of SAP tables. These give users a fast-start to quickly identifying SAP tables for key business domain areas. These include, Accounts Payable, Billing, Payroll, Sales and Distribution, Shipping, Quality Management and many more.
We can help with your Business Case for Safyr.
SAP GDPR CCPA PII Starter Pack
We also provide an additional set of Subject Areas that focus on the Personal Data fields in an SAP system. This ‘Starter Pack’ for SAP GDPR, CCPA or PII is provided via Subject Areas that identify Personal Data fields like Gender, Addresses, Social Security details, Biometric data, etc. that will occur in a SAP ECC or S4/HANA system.
The Starter Pack’s SAP Subject Areas can be easily imported into a customer’s own Safyr Repository to short-cut the tedious job of identifying the Personal Data fields that will need to be considered for their GDPR, CCPA or PII project, learn more.
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