Informatica Data Governance

Choose all that are CLAIRE's capability

• Relationship Discovery

• Schema Inference

• Natural Language Translation

• Anomaly Detection

Data Governance 3.0 Critical Requirements are categorized into

a. Line of Business ,

b. Data Governance ,

c. Data Management

Which is NOT a Data Management requirement of Data Governance 3.0 ?

• A comprehensive data management platform that support all use cases

• Scale across systems and business units to ensure efficient operations and accurate analytics

• Define Policy for quality access, protection, retention and deletion

Today, the role of data governance have expanded to following requirements (choose all that applies)

• Manage Risk

• Improve Data Accountability

• Cost Control

• Customer Experience

What are key enablers for Data Governance 3.0

• Automated Workflow Collaboration

• Dev Ops

• Intelligent Glossary Association

• Domain Lineage and Discovery

Order the Sales Life Cycle for Data Governance Opportunity

1 - Prospecting

2 - Qualification

3 - Discovery

4 - Initial Presentation

• 2 - 3 - 1 - 4

• 1 - 3 - 4 - 2

• 3 - 4 - 1 - 2

What is that key strength of Informatica against Collibra

• Attractive and Business Friendly UI

• Complete Data Governance platform integrated with Metadata, Data Quality, Data Security and Data Integration solution

• Data Glossary Capability

• Customization of Process Workflows

Which customer reference video was played during the use cases discussion session

• Bank of Ireland

• Pay Pal

• Deutsche Bank

• Master Card

What is the first stage in Digital Transformation

• Awakening

• Experimenting

• Sleepwalking

• Innovating

Which is the FINES use case in Data governance and compliance journey

• Fueling Business Through Enterprise Data Governance

• Understanding Business Value Through Analytics

• Avoiding Risk Through Data Privacy & Compliance