Data Collection and Storage

A set of flashcards covering key concepts related to data collection and storage, focusing on lifecycle management, quality, governance, and associated challenges.

Data life cycle

The stages through which data passes, including identifying, capturing, managing, utilizing, archiving, and destroying.

Data quality

The measure of data's accuracy, accessibility, completeness, consistency, relevance, and timeliness.

Data governance

The overall management and accountability for the integrity and security of data within an organization.

Data warehouse

A centralized repository designed to store and analyze structured data from various sources.

Data lake

A storage system that can hold vast amounts of unstructured and structured data in its raw form.

Master data management (MDM)

The processes, policies, and tools necessary to manage the authoritative version of critical business information.

Data silos

Isolated pockets of data held within one department that are not easily accessible by other parts of the organization.

Data integrity

The accuracy and consistency of data over its lifecycle, ensuring it is trustworthy and reliable.

Cloud computing

The delivery of computing services over the internet, allowing businesses to store and process data without on-site infrastructure.

Ethics in data management

The principles that guide the responsible collection and use of data, ensuring privacy, transparency, and compliance.

Unintended consequences

Unexpected outcomes that arise due to the use of poorly selected data in decision-making processes.

Data complexity

The level of intricacy involved in organizing, managing, and using data, which can increase with the variety of data types.

Cost-benefit analysis

A process of weighing the costs associated with data collection and management against the anticipated benefits.

Information life cycle management (ILCM)

The policy for overseeing data throughout its lifecycle to ensure it is properly managed and governed.

Data modelling

The process of defining and organizing data types and their relationships to enhance storage and management.