Explaining the meaning of data

Data silos become entrenched and limits an organization’s capacity to draw insights from its data. Semantic modeling is linking data from different sources together by using common meaning in the data to drive a better understanding of business scenarios.  Affirma allows you to leverage semantics to satisfy a conceptual definition of data by addressing the widest scope of interpretation and the smallest bias toward implementation strategy.

Understanding how data flows

Organizations are faced with the challenge of managing thousands of spreadsheets, or other sources, for data mappings and data transformations. A centralized and connected solution is needed to minimize level of effort and to promote re-usability.   Affirma allows you to centralize your data mapping and data transformations to establish data lineage and accelerate delivery.

Integrating disjointed solutions

Each vendor has its own unique data schemas, distributed across multiple business technology stacks and domains creating complexity. All this data has to be harmonized across the organization to be able to be fully integrated for gaining full business value. Affirma allows you to adapt to change by centrally managing different data schemas and harmonize them into a common semantics to drive cohesive integration designs.