Data Governance and Data Breaches Quiz
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Questions and Answers

What is the primary purpose of data governance?

  • To manage an organization's data assets effectively (correct)
  • To eliminate data storage costs
  • To increase the speed of data processing
  • To reduce the amount of data an organization collects

Data governance is only necessary for large organizations.

False (B)

Name one key benefit of implementing a data governance strategy.

Increased operational efficiency

Data governance lays the foundation for enhanced data _________ and sharing across teams.

<p>collaboration</p> Signup and view all the answers

Which of the following is a key element of data governance?

<p>Data cataloging (A)</p> Signup and view all the answers

Data governance aims to ensure data definitions are ambiguous to prevent confusion.

<p>False (B)</p> Signup and view all the answers

What does data governance foster within organizations?

<p>Data literacy</p> Signup and view all the answers

Match the organizational benefits of data governance with their corresponding descriptions:

<p>Increased Operational Efficiency = Reduction of data sprawl and silos Improved Productivity = Quick access to high-quality data Enhanced Security = Mitigation of unauthorized access risks Better Compliance = Adherence to regulatory standards</p> Signup and view all the answers

What is the purpose of data marketplaces?

<p>To facilitate the discovery and distribution of data sets (C)</p> Signup and view all the answers

Data stewards are responsible for defining the overall data strategy of an organization.

<p>False (B)</p> Signup and view all the answers

What does data lineage provide visibility into?

<p>How data flows from source to consumption.</p> Signup and view all the answers

A _______ controls permissions across all data assets, including ABAC for PII.

<p>Unified Data Access Controls</p> Signup and view all the answers

Which of the following is NOT a capability of a good data governance solution?

<p>Complicated ETL processes (A)</p> Signup and view all the answers

Match the data governance roles with their responsibilities:

<p>Data Owner = Defines and maintains data strategy Data Steward = Manages specific data assets Data Analyst = Interprets data to inform decisions Data Scientist = Builds models and analyzes data</p> Signup and view all the answers

Privacy-safe collaboration allows sensitive data to be shared without restrictions.

<p>False (B)</p> Signup and view all the answers

What is a centralized data catalog used for?

<p>To store data, ML models, analytics artifacts, and metadata.</p> Signup and view all the answers

What is the primary purpose of a data catalog?

<p>To provide a centralized metadata repository for data assets (B)</p> Signup and view all the answers

Data classification is only necessary for financial data.

<p>False (B)</p> Signup and view all the answers

What is one critical aspect of data governance related to access management?

<p>Data access auditing</p> Signup and view all the answers

Data ________ helps organizations capture relevant metadata and events throughout its lifecycle.

<p>lineage</p> Signup and view all the answers

Why is ensuring high data quality important?

<p>For accurate analytics and informed decision-making (D)</p> Signup and view all the answers

Effective data access management is not related to data security.

<p>False (B)</p> Signup and view all the answers

Match the following concepts with their descriptions:

<p>Data Discovery = Making data easily accessible for analysis Data Sharing = Exchanging data with multiple internal and external parties Data Security = Protecting sensitive data from unauthorized access Data Quality = Ensuring data is accurate and reliable</p> Signup and view all the answers

What is one main benefit of data lineage for data teams?

<p>It helps in root cause analysis of errors.</p> Signup and view all the answers

What is the primary legal obligation under GDPR when sensitive customer data is breached?

<p>Notify the authorities within 72 hours (B)</p> Signup and view all the answers

Establishing a means of data distribution helps everyone in the organization access the centralized data catalog.

<p>True (A)</p> Signup and view all the answers

What should be regularly reviewed with senior executives regarding data governance?

<p>Team member feedback</p> Signup and view all the answers

Having strong __________ is essential to prevent unauthorized access to sensitive data.

<p>access controls</p> Signup and view all the answers

Match the following elements of data governance with their descriptions:

<p>Data Steward = A person responsible for managing data assets Data Distribution = The process of making data accessible across the organization Governance Model = Framework that defines how data is managed and protected Stakeholder Engagement = Involving interested parties in the decision-making process</p> Signup and view all the answers

Which of the following best describes the role of a Data Custodian?

<p>Responsible for the technical implementation and management of data storage and security (C)</p> Signup and view all the answers

Data Users are responsible for the technical management of data storage.

<p>False (B)</p> Signup and view all the answers

What is the primary focus of the principle of Transparency in data governance?

<p>Making data accessible and usable throughout the organization</p> Signup and view all the answers

The first step in the main steps of Data Governance is identifying all sources of _____.

<p>data</p> Signup and view all the answers

Match the following principles of data governance with their descriptions:

<p>Accountability = Each agent must know their tasks and be held accountable for failures Standardization = Following regulatory laws as a standard practice Transparency = Making data accessible and usable throughout the organization</p> Signup and view all the answers

Which principle emphasizes the need to create a successful strategy by following regulatory laws?

<p>Standardization (A)</p> Signup and view all the answers

What is one key task involved in preparing for data governance?

<p>Organizing metadata storage</p> Signup and view all the answers

Regularly auditing data entitlements and access is a step in data governance.

<p>True (A)</p> Signup and view all the answers

Flashcards

Data Catalog

A centralized repository that stores metadata about an organization's data assets, making it easier for stakeholders to discover, understand, and access the data they need.

Data Quality

The process of ensuring that data is accurate, complete, consistent, and relevant to its intended use.

Data Security

The practice of controlling access to data based on user roles, permissions, and sensitivity levels.

Data Classification

The process of categorizing data based on its sensitivity, value, and criticality to determine appropriate security measures.

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Auditing Data Entitlements and Access

A process of tracking and auditing who has accessed what data, when, and from where.

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Data Lineage

The ability to trace the origins and transformations of data throughout its lifecycle.

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Data Discovery

Making data easily discoverable for analytics, AI, or ML use cases.

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Data Sharing and Collaboration

The process of sharing data securely and efficiently between internal teams, external partners, and customers across different cloud environments.

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What is Data Governance?

Managing and organizing an organization's data to ensure quality, security, and accuracy.

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Why is data governance important?

Data governance makes sure everyone in an organization understands and uses data consistently, reducing confusion.

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How does data governance improve operational efficiency?

Data governance helps organizations streamline their data management, making it easier to find accurate information and reducing costs.

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How does data governance improve decision-making?

Data governance empowers employees to understand and use data effectively for better decision-making.

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How does data governance improve security?

Data governance ensures that only authorized people can access sensitive data, protecting your organization's privacy and security.

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How does data governance help with compliance?

Data governance helps organizations meet regulations and standards related to data privacy and security.

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What is data cataloging?

Understanding what data exists is essential for good governance. Data cataloging helps document and organize all available data.

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What are the benefits of data governance?

Data governance establishes rules and policies for data usage, ensuring consistency and reliability.

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Centralized Data Catalog

A place to store all your data, machine learning models and analytical artifacts, along with metadata for each item. It can also integrate data from other catalogs.

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Attribute-Based Access Control (ABAC)

A method for controlling access based on attributes like user roles, location, or data sensitivity. It's commonly used to protect sensitive data like personally identifiable information (PII).

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Data Quality Management (DQ)

A set of tools and processes to manage the quality of your data, ensuring it's accurate and usable. This includes automated checks, testing, and monitoring.

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Open Marketplace

A platform that allows organizations to find, access, and use data sets, along with AI and analytical assets, without needing to rely on proprietary platforms, complex data transformations, or lengthy data integration processes.

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Privacy-Safe Collaboration

Protecting the privacy of sensitive data while allowing collaboration with internal or external teams. It uses advanced techniques to ensure data can be analyzed without compromising individual privacy.

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Data Stewards

They ensure data quality, integrity, and compliance with established policies and procedures.

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Data Custodian

Responsible for the technical implementation and management of data storage, infrastructure, and security. They ensure the storage, backing up, and protection of organizational data.

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Data Users

Individuals or departments relying on data to perform their job functions. Data users should understand and adhere to data governance policies and procedures to ensure data integrity and accuracy.

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Accountability Principle

Each agent, steward, and owner must know their tasks and accountability. If something goes wrong, there is a clear process for addressing it and preventing recurrence.

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Standardization Principle

Understanding and following regulatory laws is key to a successful data governance strategy. These rules on data security & storage should be standard practice for businesses to ensure the data framework operates universally across legal jurisdictions.

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Transparency Principle

Data governance aims to make data accessible across an organization without compromising quality or security. It entails transparency in data policies, collection practices, and reasons for collection.

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Step 1: Identify data sources

The process of identifying all data sources within an organization.

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Step 5: Create a governance framework

Creating a governance framework, with set policies and procedures for the various overseers.

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Data Governance Audits

A process of systematically reviewing data governance policies and procedures to identify and address any gaps or weaknesses, ensuring ongoing compliance with regulations and best practices.

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Data Governance Framework

A set of principles, policies, and procedures that guide how an organization manages its data throughout its lifecycle, ensuring data quality, integrity, compliance, and security.

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Data Risk Assessment

The process of identifying and analyzing data to understand its potential risks and vulnerabilities, enabling informed decision-making regarding appropriate security controls and data handling procedures.

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Study Notes

Data Warehousing and Data Governance

  • Data governance encompasses the overall management and strategy of an organization's data assets.
  • The goal of data governance is to ensure data availability, usability, integrity, accuracy, and security.
  • Data governance involves defining and implementing policies, procedures, and controls.
  • These controls govern the entire data lifecycle, from creation through storage, analysis, dissemination, and deletion.
  • A robust data governance strategy aims to create accountability, transparency, and consistency in data-related decisions.

Data Breaches

  • Over 1.2 million records from government agencies (NBI, PNP) were leaked.
  • Data breaches can lead to identity theft, phishing attacks, and malicious activities.
  • The airline Mabuhay Miles experienced a data breach.
  • The BlackCat ransomware attack exposed personal information such as birthdays, gender, tier levels, and points balances.
  • Data breach incidents necessitate password changes and security audits.

Congress Probe

  • Congress is investigating data breaches linked to PhilHealth.
  • The NTC received just 800 text scam complaints in 2022.

Business Incidents and Apologies

  • Jollibee apologized for a "chicken sad" customer incident.
  • BPI account holders reported lost money and negative balances.
  • Cebuana Lhuillier is under investigation for a data breach.

Key Elements of Data Governance

  • Data Quality: Ensuring data accuracy, completeness, freshness, and compliance with rules.
  • Data Catalog: A centralized repository providing metadata for easy data understanding.
  • Data Security: Prioritizes protecting sensitive data from unauthorized access.
  • Data Classification: Categorizing data based on sensitivity, importance, and criticality, establishing proper security measures.
  • Data Lineage: Tracking data's journey from source to final use, promoting data quality and trustworthiness.
  • Data Sharing & Collaboration: Secure exchange of data across internal teams, partners, and consumers.

Data Governance Solution

  • Centralized Data Catalog: stores data, ML models, and metadata.
  • Data Auditing: Tracking data access and usage.
  • Data Lineage: Provides end-to-end visibility into data flows.
  • Unified Data Access Controls: Using permission models for information security.
  • Data Sharing & Collaboration: facilitates data sharing across regions and platforms.
  • Data Discovery: Enables data accessibility and utilization.
  • Data Quality Management: Ensures data accuracy and reliability.
  • Open Marketplace: Facilitating the discovery and deployment of data.

Who is Involved in Data Governance

  • Data Owner: Defines and maintains policies and procedures.
  • Data Steward: Manages and oversees specific data assets.
  • Data Custodian: Responsible for the technical implementation and management of data.
  • Data Users: Those who use the data to perform their jobs.

Core Principles of Data Governance

  • Accountability: Clear responsibilities and processes to address issues.
  • Standardization: Consistent data policies & practices.
  • Transparency: Open communication about data policies & usages.

Steps to Data Governance

  • Identifying all data sources.
  • Creating a metadata repository.
  • Tracking the lineage of data.
  • Screening for sensitive data.
  • Developing data governance frameworks.
  • Adhering to relevant regulations (like GDPR and CCPA).
  • Performing data quality checks.
  • Regularly auditing data access.
  • Addressing data governance risks (like lack of security or over-access).
  • Hiring data governance staff.
  • Creating data directories.
  • Constantly adapting the data governance strategy.

Assessment - Data Governance Scenarios

  • Handling a data breach under GDPR.
  • Balancing AI innovation with compliance.

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Description

Test your knowledge on data governance strategies and the implications of data breaches. This quiz covers various aspects of data management, including policies, controls, and recent incidents of data leaks. Understand how these factors impact organizations and individuals alike.

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