Reconcile data between source and analytics database after every data load
Measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for purpose
Ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle
An organized inventory of data assets in the organization
Practice in which incremental code changes are made frequently and reliably
Compare two database definitions and apply the differences from the source to the target
Collaborative data management practice
Flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
Monica is an experienced business development associate. She helps boosting growth and sales. She conducts market research, develop business strategies, build client relationships and identify new business opportunities. She always identifies the long-term methods to increase value through the development of relationships, markets and customers. She is professionally assisting in expanding the business operations and value.
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