DATA STEWARDSHIP ACTIVITIES
The Data Governance Center covers all key data governance and stewardship activities.
A best of breed product that empowers your data stewards to become the trusted data authority!
DATA GOVERNANCE OPERATING MODEL
Automate Governance & Stewardship tasks by implementing a Data Governance Operating Model.
Define the ownership structure through communities & domains.Support federated governance approach (e.g. various maturity levels)
Roles & responsibilities
Define stewardship tasks & responsibilities based on your own roles.
Combine the governance organization with roles & responsibilities to automate the assignment of stewardship tasks to the correct users.
Processes & workflow
Automate the execution of stewardship workflows through a powerful, standards based (BPMN) workflow engine
Asset Types & Traceability
Configure what you want to document (templates) and what relations to create, which can be followed to automate the involvement of the right stakeholders.
DATA STEWARDSHIP MANAGER
Ensure trusted and high-quality data across the organization.
Document business policies an data security, privacy, sharing and lifecycle and ensure these are reviewed, approved and adopted by all the necessary stakeholders.
Translate business policies into verifiable business rules or guidelines in order to implement and enact policies into the daily operations.
Data Quality Rules
Ensure that data quality rules are aligned to the business rules, their scope, priority, and exception scenario’s are correctly documented, and all of this is reviewed and approved before the rules are implemented in the data quality tool of choice.
Review data issues and make sure the correct people are involved so issues can be effectively analyzed, prioritized and resolved.
BUSINESS SEMANTICS GLOSSARY
Different terms mean different things in different contexts. Collibra adds a layer of consensus that helps eliminate these issues.
Business & Data Definitions
Involve business and IT to create, approve and publish business and data definitions. Ensure that all metadata attributes and relations are accurately documented.
Reach out to the business to understand and document what data is available and how and where it is used. Notify impacted stakeholders when a change is agreed.
Structure and classify data using single- and multidimensional hierarchy or roll-ups.
Capture synonyms, homonyms, and terms in different languages. Build meaningful relations based that act as formal requirements (based on the OMG SBVR standard) as input for data models.
REFERENCE DATA ACCELERATOR
Reference Data Authoring
Coordinate the intake process of a new reference data code.
Understand where the codes are implemented and how they are used.
Update reference data mappings, get approval and notify relevant stakeholders (e.g. system owners)
Reference Data Crosswalks / Mappings
Find out what reference data that is in use and how different code sets map to each other. Involve the business in validating the mappings in order to coordinate the provisioning to IT systems.
"Collibra is a valuable addition for organizations that want to extract more value from their current data investments. As pioneers in data authority, they are truly redefining the way the industry looks at data governance"