BDAN 250 Data Literacy Vocabulary Flashcards

Vocabulary practice flashcards covering fundamental definitions, database design context, statistical bias, and the DIKW pyramid from BDAN 250 notes by Brianna Lott.

Data Literacy (Functional Definition)

The ability to read, write, and communicate with data in context, with an understanding of data sources and constructs, analytical methods, and PAL techniques to understand, identify, interpret, and act on data in a business context to influence value and outcomes.

Data Literacy (Conceptual Definition)

A way of thinking about numbers and measurements of objects, entities, and things that requires attention to detail to ensure findings are actually insightful.

Four Pillars of Data Literacy

The essential core activities of data literacy: Reading, Working / Writing (management), Analysis, and Communicating (presentation).

Database Design

The structural design that determines what information can be collected and stored, directly influencing what questions can be asked of the data.

Misleading Statistics

The statistical outcome when individuals hand-pick and manipulate numbers to fit their own perspective.

DIKW Pyramid

A framework formulated by Russell L. Ackoff in 1989 outlining the essential progression of data for decision making through four levels: Data, Information, Knowledge, and Wisdom.

Data (DIKW Layer)

The base layer of the DIKW pyramid consisting of raw, unprocessed numbers and measurements.

Information (DIKW Layer)

The second layer of the DIKW pyramid consisting of organized, structured data combined with context that addresses who, what, and when.

Knowledge (DIKW Layer)

The third layer of the DIKW pyramid resulting from analyzing information and attaching meaning to explain how and why.

Wisdom (DIKW Layer)

The apex layer of the DIKW pyramid representing the ultimate goal of data progression: decision making.