C201_Chenchalrao.pptx

1、C201:Operationalizing Data Governance,Track C:Analytics&Semantic Layers,Data Governance:Beyond Theory,By-Swetha Chenchalrao Data Governance Analyst,Agenda,1,What is Data Governance&Why It Matters,2,The Four Pillars of Data Governance,3,Components of Data Governance(The 3 Ds),4,Data Quality Rules&Dim

2、ensions,5,Establishing Data Catalog,6,Business Impact,7,How to Get Started,8,Why Governance Fails&How to Prevent It,9,Key Takeaways,DATA GOVERNANCE:What it is and why it matters?,Data Governance,Framework of decision-making,ownership,and accountability for managing data as an enterprise assetEnsures

3、 quality,security,and accessibility of organizational dataEstablishes and enforces Policies,standards,and processesGoverns how data is created owned stored processed used across its lifecycle,WHY IT MATTERS TO THE ORGANIZATIONS:,Maximize the enterprise data value.Ensures accurate data in executive r

4、eporting,preventing financial loss and improving decision-making.Establish a single source of truth(SSOT)Safely leverage data for AI and advanced initiatives Helps deliver accurate and trusted BI analytics.,The Four Pillars of Data Governance,Data Quality,Ensure accuracy,completeness,consistencyDefi

5、ne and enforce DQ rules&validationsContinuous monitoring and issue resolution,Data Stewardship,Assign data owners&stewardsDrive accountability and ownershipBridge business and technical teams,Data Protection&Compliance,Secure sensitive data(PII)Enforce access controls&privacy policies,Ensure regulat

6、ory compliance(GDPR,etc.),Data Management,Govern data across its lifecycleEnable data integration,storage,and accessMaintain metadata,lineage,and consistency,Components of Data Governance The three big Ds,Understanding the foundation of Data Governance Ecosystem,Data Quality(DQ),Measures how well yo