Data Management and Lifecycle Quiz

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Questions and Answers

What is the primary focus of the sourcing phase in the data life cycle?

Storing data for future use

Sending data to users for analysis

Archiving data that is no longer actively used

Collecting and capturing data from various sources (correct)

Which of the following describes the protection and usage phase of the data life cycle?

Archiving data permanently for future retrieval

Maintaining data storage and organizing files

Collecting data from various external agencies

Applying data to enterprise tasks while ensuring its security (correct)

In the context of the DAMA DMBOK framework, which area relates to the organization and management of data?

Data analytics

Data governance (correct)

Data integration

Data storage

What does the archiving phase in the data life cycle involve?

Storing inactive data for a defined retention period Signup and view all the answers

Which of the following is NOT considered a characteristic of good data?

Irrelevance Signup and view all the answers

Which phase of the data life cycle focuses on the accessibility and usability of data?

Storage Signup and view all the answers

What is the primary focus of data governance within the DMBOK framework?

Planning and oversight of data management Signup and view all the answers

In the context of the data life cycle, which process involves determining the appropriate methods to erase data securely?

Destruction Signup and view all the answers

Which module addresses the ethical sharing of data?

Module 9: Ethical Issues in Analytics Signup and view all the answers

What knowledge area includes the processes to control and purge data?

Data Governance Signup and view all the answers

What is a key skill required for managing data throughout its lifecycle?

Understanding of data protection laws Signup and view all the answers

Which phase in the data life cycle is primarily concerned with the compliance of data usage?

Protection Signup and view all the answers

Which organization is dedicated to advancing the concepts and practices of information and data management?

DAMA International Signup and view all the answers

What does the DMBOK definition of Data Architecture encompass?

The overall structure of data as part of enterprise architecture Signup and view all the answers

Which activity is associated with Data Modeling & Design according to DMBOK?

Conceptual, logical, and physical data modeling Signup and view all the answers

What is the primary purpose of Data Warehousing & Business Intelligence?

Enabling access to decision support data for reporting and analysis Signup and view all the answers

In the context of Metadata, what does it specifically refer to?

Information describing data as it is created, stored, transformed, accessed, and consumed Signup and view all the answers

What does ensuring data security encompass according to DMBOK?

Access management and security governance Signup and view all the answers

Which activity is part of the Data Integration & Interoperability process?

Data acquisition and movement Signup and view all the answers

What is the main function of Reference & Master Data management?

To reduce redundancy and ensure better data quality Signup and view all the answers

What does the process of Documents & Content management primarily involve?

Storing, protecting, indexing, and enabling access to unstructured data Signup and view all the answers

Which of the following best describes the activity of Building and Operating Data Storage Solutions?

Monitoring and archiving of data assets Signup and view all the answers

What does the process of examining source systems ensure?

The completeness and correctness of data Signup and view all the answers

Study Notes

Introduction to Analytics 2023-2024

The course covers analytics for the 2023-2024 academic year.

Lesson 2: Data Life Cycle

Learning Objectives:
- Understand the phases of the data lifecycle
- Identify processes and activities of each phase
- Recognize DAMA Framework knowledge areas
- Interpret context diagrams
- Analyze how analytics fits into the DAMA framework
- Discuss good and bad data
- Understand XML data formats
Agenda:
- Data lifecycle phases and activities
- Context diagram example
- DAMA DMBOK knowledge areas
- Qualities of good data (five C's)
- XML data format

Data Life Cycle

Phases:
- Sourcing: Gathering data from various sources (external data acquisition or creating data)
- Storage & Preparation: Storing, maintaining, and preparing data for use
- Protection & Usage: Applying data to enterprise tasks while protecting data
- Sharing: Distributing data to internal and external users
- Archiving: Storing data no longer actively used for a defined period
- Destruction: Removing all copies of data from the enterprise
Processes within each phase:
- Sourcing: Obtain data externally, create data, receive data signals
- Storage & Preparation: Move and store data, cleanse and enrich data, transform and synthesize data, integrate data
- Protection & Usage: Apply data to enterprise tasks, protect, monitor and audit usage, search, classify, and explore data, model and analyze data
- Sharing: Data publication, visualization, data sharing, moving and copying data, delivering data products to customers
- Archiving: Copying data into archive, removing archived data from active environments
- Destruction: Permanently destroying data

DAMA and DMBOK

DAMA International: A not-for-profit, vendor-independent, global association for information and data management professionals.
DAMA DMBOK®: The Data Management Association's Data Management Body of Knowledge.

DMBOK Knowledge Areas

Data Governance: Planning, oversight, and control over the management of data and related resources.
Data Architecture: The overall structure of data and data-related resources as an integral part of the enterprise architecture.
Data Modeling & Design: analysis, design, building, testing, and maintenance of data structures.
- Includes conceptual, logical and physical data modeling
- Includes master data modeling
- Includes modeling and design across various architectures (data warehouse, data lake, cloud data storage, etc. )
Data Storage & Operations: Deployment and management of structured physical data assets storage.
Data Security: Ensuring privacy, confidentiality and appropriate access to data
- Focuses on aspects of privacy, security and access management
- Includes security governance (monitoring, audit, breach responses)
- Includes data protection (encryption)
Data Integration & Interoperability: Acquisition, extraction, transformation, movement, delivery, replication, federation, virtualization, and operational support of data assets
Documents & Content: Storing, protecting, indexing, and enabling access to data. Includes:
- Content management (classification, tagging, indexing)
- Managing physical documents.
- Managing electronic records (documents, images, scans, multimedia)
Reference & Master Data: Managing shared data to reduce redundancy and ensure data quality.
Data Warehousing & Business Intelligence: Managing analytical data processing and enabling access to decision support data. Includes:
- Data profiling and warehousing
- Data discovery, searching and querying
- Operational and analytical reporting
- Analytics
Metadata: Collecting, categorizing, maintaining, integrating, controlling, managing, and delivering metadata (information about data). It includes:
- Business glossary / data dictionary
- Data classification

The Five C's of Good Data

Clean: Accurate, no missing data points, conforms to required formats; no invalid entries
Consistent: Follows the same standards,definitions, and use codes; reflects the same meaning
Conformed: Shareable across dimensions with the same business meaning
Current: As recent as required for business purposes
Comprehensive: Sufficient and complete for its intended purpose

XML Data Format

XML (Extensible Markup Language): Text-based format used to share data using tags to describe data
XML is case sensitive; tags must use the same capitalization
Tag names must begin with a letter, underscore, or colon, may contain letters, digits, and underscores. No spaces, colons, dashes, or periods.
Tags for XML data have starting and closing tags
XML has a well-defined structure; follows rules.
Special characters in XML need to be represented with special characters.
Attributes can be included in XML tags and can contain multiple attributes

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Description

Test your knowledge on the data life cycle phases and the DAMA DMBOK framework. This quiz covers essential concepts including data sourcing, protection, governance, and archiving. Explore the skills and processes crucial for effective data management.