AFFIRMA DATA JOURNEY
Reduce Complexity. Gain Business Value.
A Connected Data Journey
We have tended to think about the data lifecycle in a linear and largely segmented fashion. We utilize different technologies during different stages of the data lifecycle. Very often these technologies are loosely connected requiring manual intervention, or worse, they may not interact at all, reducing the ability to gain insights and increasing complexity.
When you are designing a data architecture for your organization you have to take into consideration current and future needs and ensure:
- You have a common definition of your data
- You manage and associate metadata with your data
- You manage and connect the lifecycle of your data
How do you accomplish this in a way that allows for a clear end-to-end view of data for both internal and external uses with respect to your organization? Reduce complexity? Gain business value?
Affirma enables you to manage your data journey and connects the dots.
Model and Semantics
Data models and semantics describes how your organization operates and makes use of data. They include an unambiguous definition of the data, which allows for efficient exchange and reuse of data. With a semantic approach, businesses can adopt quicker to their changing environment. Individuals are empowered to respond and innovate.
Affirma uses the concept of a Data Catalog and Enterprise Semantic Model for capturing data models and semantics. The Data Catalog is a compilation of industry standard data models, data schemas, and vendor solution data sources. The Data Catalog is harmonized into a common definition and becomes the Enterprise Semantic Model.
Associated Affirma Capabilities
Data Catalog
Enterprise Semantic Model
Design
Data and integration design describes how data is stored and moved between systems and solutions both internal and external with respect to your organization. Taking an organized approach, based on semantics, ensures consistency across your designs, and enables reusability.
Affirma uses the concepts of Data Design and Integration Design, to capture data storage and movement. The designs are created and stored within a common repository. Designs are built utilizing the Enterprise Semantic Model, which includes data objects, properties, and attributes for creating profiles and contexts. This allows for re-usability, ensures clarity and quality of data.
Associated Affirma Capabilities
Data Design
Integration Design
Map and Transform
Mappings and transformations describe how data is converted and linked to align with recipient systems and solutions. It is crucial that data is interpreted correctly by recipients as data drives business operations and decision making.
Affirma uses the concept of Mapping and Transformation through a centralized engine for defining how data is converted and linked. Mappings and transformations are built upon Designs utilizing the Enterprise Semantic Model, resulting in a unified technology approach. This enables visibility and is the start to understanding the end-to-end data live cycle.
Associated Affirma Capabilities
Data Design
Integration Design
Data Lineage
Mapping and Transformation
Data Profiling
Integrate
An integrated organization has an end-to-end view of its data and associated metadata. Investments in different technologies for managing the data life cycle are bridged. An integrated approach reduces complexity and maximizes the business value you gain from your data.
Affirma is purposefully designed with its concepts to manage the data lifecycle, to integrate and adapt to change, and link with other solutions. The data across your data architecture, whether that is a data fabric, data mesh or combination thereof is harmonized though established Data Lineage.
Associated Affirma Capabilities
Data Lineage
Governance
Generate
An organization needs to create design artifacts for code generation to facilitate data storage and movement. Organization will continue to evolve based on technology advancements, consumer expectations, policy changes and even regulatory compliance. The result is a need to augment and continuously expand technology environments.
Affirma provides a cohesive approach of moving from design to deployment to ensure a connected technology landscape. Affirma capabilities have “connected the dots” to generate design artifacts for Build Automation.
Associated Affirma Capabilities
Data Design
Integration Design
Data Linage
Mapping and Transformation
Build Automation
Govern
Governance addresses the development, maintenance, communication and enforcement of data management policies and procedures. Additionally, data quality, services, tools, and technologies are needed to move to an enterprise-wide data management and services culture. Governance is required to achieve alignment within and beyond the organization.
Affirma uses the concept of the Data Dictionary generated from your Enterprise Semantic Model to ensure consistency and a common definition of data. Data Governance enforces business rules, processes, and policies on your data to ensure a high-level of assurance in what is being delivered.
Associated Affirma Capabilities
Data Dictionary
Governance
The Affirma Data Journey
Affirma is your Enterprise Semantic Model and Metadata Management Solution. Affirma takes a graph-based technology approach utilizing a common ontology to capture and manage the data life cycle from inception to deployment. You move from a linear and segmented approach to a connected and harmonized data architecture.
Reduce complexity, gain business value with Affirma Capabilities.
Data Catalog
Enterprise Semantic Model
Data Design
Integration Design
Data Linage
Mapping and Transformation
Data Profiling
Governance
Data Dictionary
Build Automation
Let's Talk!
What are your needs and vision for your business?
We will work with you for the right approach for you.