What is Data Architecture?

Data architecture is a set of rules, policies, standards and models that govern and define the type of data collected and how it is used, stored, managed and integrated within an organization and its database systems. It provides a formal approach to creating and managing the flow of data and how it is processed across an organization’s IT systems and applications.

 

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Data Architecture

Data is an integral part of any process or service within the enterprise. More and more companies are treating data as information assets that differentiate them from their competition and provide the edge in delivering new services and finding market breakthroughs.

Businesses often operate on a value-chain or capability level, but underpinning this and making it tangible are data.

Compliance with Security and Governance demands is not possible without efficient and clear Data Architecture. Application and Infrastructure architects are often overwhelmed with data related requests; however, these should be resolved by the Data Architecture team.

Key iServer Benefits

  • Shared repository for importing and refining data
  • Workflows to notify data owners about any changes
  • Built-in user-portal that provides easy access to up-to-date information
  • Ability to reuse data between different architectural domains and avoid data inconsistency issues
iServer Repository

iServer Repository

The iServer repository provides a shared space for architects to develop and maintain logical and conceptual models.

Architects can leave feedback on any item to resolve data inconsistency, ensure version and change control by tracking the history of all content, define standard catalogue for data maintenance and link data to applications, processes & technologies and instantly visualize it with the iServer relationships panel.

Conceptual Data Models

Conceptual Data Models

Construct conceptual data models using built-in Visio diagrams based on TOGAF and ArchiMate viewpoints, which allow you to start modelling from day one.

Conceptual data models make sense of the information within your enterprise on a strategic level and address the needs of a wider C-level audience. This information can later be reused and refined in the logical data models which also come pre-built with the iServer solution.

Logical Data Models

Logical Data Models

The detailed logical data models support solution architecture and implementation efforts. Pre-built TOGAF, ArchiMate, and UML Visio templates can be leveraged to design detailed logical data models and share them with other architects instantly. Moreover, it’s possible to reuse any existing information to avoid duplication and extra effort. Once design is finished, create drill downs to specific implementation details or platforms.

Furthermore, data can be enhanced with custom attributes by means of a flexible metamodel.

Document Patterns

Document Patterns

Develop design patterns for data architecture which can be stored in either Visio or Word documents and shared with a wider audience via built in user Portal.

These documents can later be improved, reviewed, and approved through our built-in workflow engine. Automatic notification is sent out to notify everyone when a change occurs and new design rules are in place.

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