DATA LINEAGE
Understanding how data flows
Organizations are faced with the challenge of managing thousands of spreadsheets and other sources to understand how their data flows. With Affirma you can centralize your data mapping and transformations and compute data lineage.
180 zettabytes
Global data creation is projected to grow to more than 180 zettabytes.[1]
Data professionals see data volume grow by an average of 63% every month in their companies.[2]
Mapping and transforming your data
Connect directly to data sources to capture existing metadata and create metadata extensions such as domain information, access restrictions, and history. Establish clear descriptions for common understanding, and system of record, data owners, data stewards and more for data management.
Reduce data redundancy
Establish the lineage between initial data sources and the many different data sinks, through mappings and transformations, resulting in a comprehensive map of data flows. Easily understand the impact of change to data sources or business processes on downstream systems, and contribute to regulatory compliance through comprehensive metadata management.
Understand data usage in models and designs
Establishing lineage at the model and design level allows for reuse and ensures consistency in data usage. Easily understand were the models come from and how they are used in data consumption. Allow the user to view from the source, data object even down to data attribute levels.
Why does Data Lineage Matter?
CEOs CONCERNED ABOUT INTEGRITY OF DATA
According to a KPMG report Trusted Analytics matter to CEO'S, 56% of CEOs say they are concerned about the integrity of the data they are using for decision-making.
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