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Data Management
Giving you an edge when managing data on the cloud or on-premises.
overview – ensuring that every workload drives business value
Datametica ensures that enterprise data conform to best practices in order to meet their business objective backed by enhanced data quality & compliance adherence.
best-practices for better data management
metadata management
Helping organizations architect a robust foundation of metadata to identify meaningful relationships, create data models, and efficiently work from their datasets.
data lineage
Mapping data’s journey, origin, transition, and lifecycle to help in their source identification, possible business impact, and ensure data quality.
data governance
Defining the rules and principles to ensure integrity and consistency of the data.
data quality
Ensuring data integrity to help enterprises get the most from their information asset, allowing them to build confidence in their decision-making.
data enrichment
Recommendation and integration of additional data sources.
data security
Data audit and risk assessment with suggestions on technologies to improve data security.
data integration
Automation of ETL setup and creation of data lake and warehouse with optimal architecture on the cloud.
