Metadata Management in Data-Driven Organizations: Concepts, Types, and Best Practices

What is the common definition of metadata?

Data about data.

How should companies define metadata?

In a more actionable, non-ambiguous way.

What is a Customer Privacy Indicator?

A flag that identifies if a customer does not wish to share their information outside of the company.

What are the consequences of unreliable metadata?

Companies do not know what data they have, what it represents, where it originates from, who should access it, or its quality.

What is the relationship between being data-driven and metadata-driven?

To be data-driven, a company must also be metadata-driven.

List three business drivers of reliable metadata.

1. Increases confidence in data quality. 2. Improves operational efficiency. 3. Reduces data search time.

What is the focus of metadata management?

Documenting and managing organizational knowledge of data related business terminology.

What are the three types of metadata?

1. Business metadata. 2. Technical metadata. 3. Operational metadata.

What does business metadata include?

Naming and definitions of concepts, subject areas, entities, attributes, calculations, and rules.

What does technical metadata encompass?

Technical details of data, systems, and processes that move data around.

What is operational metadata?

Details of processing and accessing data, such as error logs and reports.

What is a data dictionary?

Defines the structure and meaning of data within a single database.

What is data mapping?

The process of establishing traceability between data pieces.

Why is understanding data lineage important?

It provides visibility into how data moves throughout the organization and its impact on downstream systems.

What is the purpose of tagging data in a data lake?

To add meaning to data being ingested.

What is a data lake?

A storage repository that holds vast quantities of raw structured and unstructured data.

What are metadata implementation guidelines?

Follow an incremental, prioritized approach to minimize risk and business disruption.

What should the data governance team do regarding metadata?

Define standards and manage changes to metadata.

What metrics can be used to evaluate metadata effectiveness?

Metadata repository completeness, steward representation, metadata usage, and metadata quality.

What is a common outcome of lacking metadata?

A data lake can quickly become a data swamp.

What is the significance of a business glossary?

It includes terms, definitions, associated systems, stakeholders, and supporting algorithms.

What is the role of stewards in business metadata?

To develop enterprise definitions of data in a business glossary.

What is the importance of metadata quality?

It ensures that data is accurate, reliable, and usable for decision-making.

What is the impact of metadata on operational efficiency?

It helps identify redundant data and processes.

How does reliable metadata affect strategic information?

It increases the value of strategic information by enabling multiple uses.