Data Governance Center Positioning

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1 Data Governance Center Positioning

2 Collibra Capabilities & Positioning Data Governance Council: Governance Operating Model Data Governance Organization Roles & Responsibilities Processes & Workflow Asset Types & Traceability Collibra Platform Collibra Data Stewardship Manager (DSM) Establishes & drives Policy Management Business Rules Data Stewardship Activities Data Quality Rules Data Quality Reporting Reports & Escalates Issue Management Collibra Business Semantics Glossary (BSG) Collibra Reference Data Accelerator (RDA) Other Data Management Vendor products Business & Data Definitions Business Traceability Hierarchy Management Semantic Modeling Mapping Specifications Reference Data Authoring Reference Data Crosswalks Data Quality Profiling Master Data Stewardship Aligns & Coordinates Monitors & Remediates IT / Operational Data Management Activities Metadata Lineage Metadata Scanning Data Quality Development DQ Defect Resolution Data Modeling Data Integration...

3 Data Governance Operating Model Automate Governance & Stewardship tasks by implementing a Data Governance Operating Model Governance Organization Define ownership & responsibility structure through communities & domains Support federated governance approach (e.g. various maturity levels) Roles & responsibilities Define permissions & stewardship task 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.

4 Governance Organization with Roles & Responsibilities

5 Process & workflows

6 Asset Types & Traceability: Templates

7 Data Stewardship Manager Policy Management Document business policies an data security, privacy, sharing and lifecycle and ensure these are reviewed, approved and adopted by all the necessary stakeholders. Business Rules 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. Issue Management Review data issues and make sure the correct people are involved so issues can be effectively analyzed, prioritized and resolved.

8 Policy Management

9 Data Quality Reporting / Dashboarding

10 Data Quality Rules

11 Mapping Specification

12 Issue Management

13 Business Semantics Glossary 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. Business Traceability 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. Hierarchy Management Structure and classify data using single- and multidimensional hierarchy or roll-ups. Semantic Modeling 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.

14 Business Traceability

15 Hierarchy Management & Semantic Modeling

16 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.

17 Reference Data Authoring

18 Reference Data Mapping / Crosswalks

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