Power your data cloud migration with data intelligence
Don’t let your cloud migration strategy take flight without a solid data management strategy. Collibra paves the way with data intelligence that fosters trust and understanding of data, prioritizes quality from start to finish and fast-tracks the time to value of your cloud investment — all while keeping regulatory and privacy concerns top of mind.
Unlock the full potential of your data cloud migration
Prep for success: get everyone on the same page – before migration
Foster collaboration with an enterprise data catalog that creates a common business language for all stakeholders, connects technical metadata with business and privacy context, simplifies decisions about which data to migrate, and operationalizes data governance policies to address data privacy regulations and safeguard sensitive data.
Take a quality-first approach throughout your data cloud migration journey
Simplify the evaluation and improvement of data quality at every stage of migration. Deploy AI-generated data quality routines – rooted in best practices and tailored to your specific needs – to source and target platforms. Perform efficient root cause analysis with comprehensive end-to-end lineage that helps pinpoint the origin of data quality issues.
Maximize the value of your cloud platform investment
Automatically capture metadata and lineage from source systems with an extensive set of cloud platform integrations and REST-based APIs. Enable informed decisions about what to migrate and where – controlling cloud storage spend while ensuring a uniform approach to migrating data in hybrid or multi-cloud environments.
Mitigate data privacy risks throughout your data cloud migration
Conduct privacy risk assessments with highly customizable, pre-built templates to identify and mitigate privacy risks prior to moving your data to the cloud. Capture the what, why, where and how of data usage across your organization to support compliant data usage.
Ensure safeguards are in place for sensitive data
Classify sensitive data and assign responsible data owners. Apply advanced protection with data masking, redacting or hashing functions. Enable access controls at the column and row level. Ensure the appropriate approval processes are in place when accessing sensitive data.