System Architect®

Perform master data management

Understand how data is captured, consumed, and transformed.in your organization. Perform master data management to govern your data from strategy to execution in support of business transformation.

Data discovery and architecting

Automatically create physical data models from reverse engineering databases such as Oracle and Microsoft SQL Server, and map them to logical or conceptual data models. Use the SA ERP add-in to reverse engineer enterprise resource planning systems such as Salesforce.com, SAP, Seibel, and others. Understand and adjust your data architecture within the context of your enterprise architecture – what business services, applications, and processes use the data.

Create a data dictionary

Utilize an underlying data dictionary of data elements, within data domains. Understand structured data within the context of unstructured data.

Create a data catalog

Build a data catalog of structured and unstructured data. Use acronyms, tag data, and perform data classification to create a metadata repository, which acts as an index for your data. Leave your data where it is -- whether it is in the cloud or on premises, just add connection information into your data catalog on how to access it. After adding data assets to catalog, they can be profiled to add generated metadata about the data assets’ contents, creating a business glossary.

Understand data lineage via data flows

Understand data lineage by building data flows of how data flows and is transformed through the organization. Create a data tracking map.

Examine and communicate data dependencies

Use Explorer diagrams to auto visualize data dependencies and impacts. Utilize SA’s web dashboards and SA Publisher architecture website generation to communicate the data analysis, catalog, and architecture to a wide audience -- enabling business users and data analysts to collaborate and access the necessary data to execute business transformation.