ISACA’s CDPSE certifies that a Data Analyst and Data Scientist can manage the data lifecycle and help the organization’s experts in enforcing privacy compliance and data protection practices. Data scientists and privacy experts can use data science techniques to improve the end user’s privacy and trust. This article provides an overview of ISACA CDPSE Domain 3: The Data Life Cycle.
Domains of ISACA CDPSE
The CDPSE exam is composed of three domains.
Domain 1: Privacy Governance (34%).
Domain 2: Privacy Architecture (36%)
Domain 3: Data Lifecycle (30%)
Domain 3: Data Lifecycle
The ISACA CDPSE’s third domain covers the remaining 30% of the weightage, which includes data lifecycle components. It addresses data privacy requirements and implements data privacy controls using best practices. Each phase of the data cycle includes data storage and how to assess adequate data within an organization.
What is the Data Lifecycle?
The Data Life Cycle is a series of phases that assist organizations in managing the data flow within the cycle. It is also known as the information lifecycle. The Data Life Cycle is the time that data has been in the system. To ensure smooth business operations, it is important to fully understand privacy requirements for organization data.
Data Life Cycle provides a clear view of how data is stored, transported, and managed. It also checks that the storage requirements for data comply with privacy laws and regulations. The organization processes and analyzes the collected data to fulfill legal requirements.
Data lifecycle management takes “the right to forget” into account. Organizations will comply with privacy procedures if a user requests to delete data from the system. These concepts are covered in Domain 3.
Data privacy and persistence are closely linked, which means that data cannot be collected or stored as undefined. Based on the data type, data has storage requirements. Let’s say that the data includes personal information like name, address, phone number, payment information, and phone number. In this case, data storage could include personal information that conforms to privacy laws. The Domain 3 second part covers data persistence.
Outline of Domain 3 Data Life Cycle
Part A: Data Purpose
This domain includes the concepts of data purpose. Data is used to meet specific needs. Data allows organizations to see various statistics related to different variables. It helps to ensure accuracy and simplifies data analysis.
Data Inventory and ClassificationData Inventory
Data classification
Data Quality and AccuracyData Quality Dimensions
Dataflow and Usage DiagramsDatalineage
Data Limitation
Data AnalyticsUser Behavior Analytics
Part B: Data persistence
This domain includes the concept of data persistence. Data persists in its previous version even if it is modified. External processes cannot delete the data unless the user deletes it. It allows users to retrieve data even if the system is restarted or shut down.
Data minimization
Data MigrationData Conversion
Refining the Migration Scenario
Post-Data Migration
Data Storage
Data WarehousingExtract and Transform
Additional Considerations
Data Retention and Archiving
Data DestructionData Anonymization
Deletion
Crypt-shredding
Degaussing
Destruction
Concepts covered by CDPSE Domain 3 Data Life Cycle
Domain 3 of CDPSE is about data privacy and persistence concepts. Domain 3 will cover data privacy and persistence concepts.
Execute Privacy Impact Assessments, (PIA), and other privacy-focused assessments that are related to the data’s life cycle.
Identify the intern