Chapter 5 Flashcards

1
Q

data governance

A

managing information across an entire organization

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2
Q

master data management

A

process that spans all of the business processes and applications.

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3
Q

master data

A

set of core data, such as customer, product, employee, vendor, geographic location. Spans all of the enterprises information system.

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4
Q

databases

A

provides all users with access to the data.

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5
Q

What does database sytems minimize?

A

data redundancy, data isolation, data inconsistency.

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6
Q

what do database systems maximize?

A

data security, data integrity, data interdependence.

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7
Q

bit (binary digit)

A

smallest unit of data a computer can process. 0’s or 1’s.

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8
Q

data hierarchy

A

database-file-record-field-byte-bit

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9
Q

byte

A

represents single characters

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10
Q

data model

A

diagram respresenting entities in the database and their relations.

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11
Q

instance

A

specific or unique representation of an entity

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12
Q

attribute

A

characterstic of quality of an entity.

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13
Q

primary key

A

unique identifier

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14
Q

secondary keys

A

other fields not representing the file with complete accuracy.

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15
Q

entity relationship modeling

A

ER diagram. association between two entitites. Diagrams entities, attributes, and relationships.

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16
Q

cardinalilty

A

in entity relationship model. refers to maximum number of instances for entity. 1 or many.

17
Q

modality

A

in entity relationship mod. refers to minimum number of instances for entity. 0 or 1

18
Q

identifiers

A

primary key

19
Q

relational database model

A

two dimensional tables- big files=flat files

20
Q

structured query language

A

most popular language. used to perform searches with simple statements or keywords. May include key words like SELECT, FROM, WHERE…

21
Q

query by example

A

user fills out grid or template to construct a sample. Drag and drop.

22
Q

data dictionary

A

defines the appropriate format for entering the data into the database. Provides information on each attribute.

23
Q

Normalization

A

reduces relational databases for minimum redundancy, maximum data integrity, and optimal processing performance. Depend only on the primary key.

24
Q

Data warehouse

A

repository of historical data organized by subject to support decision makers in the organization. Expensive and usually used by larger companies.

25
Q

Data mart

A

lower cost. Designed for end-user needs in a small organization or strategic business unit (SBU) or a department in a large organization.

26
Q

Characteristics of Data Warehouses and Marts

A
  • organized by business dimension or subject
  • uses online analytical processing
  • integrated- customer data can be integrated from internal and external systems and create a comprehensive view of the customer.
  • Time variant- stores years of data
  • Nonvolatile- only IT professionals can change or update the data.
  • Multidimensional- multidimensional structures, unlike tables which are only two dimensional.
27
Q

multidimensional structure

A

more than two dimensions, data cube.

28
Q

knowledge management

A

process that helps organizations manipulate important knowledge that is part of the organizations memory, usually in an unstructured format.

29
Q

explicit knowledge

A

objective, rational, technical knowledge. Policies, procedural guides. Codified knowledge that can be distributed to others or transformed into a process or strategy

30
Q

tacit knowledge

A

subjective or experiental learning. Trade secrets, skill sets.

31
Q

intellectual assets, intellectual capital

A

other terms for knowledge.

32
Q

knowledge management systems

A

the use of modern information technologies

33
Q

best practices

A

most effective and effecient way of doing things

34
Q

Describe the six steps in knowledge management system cycle.

A
  1. Create knowledge
  2. Capture knowledge
  3. Refine knowledge
  4. Store knowledge
  5. Manage knowledge
  6. Disseminate knowledge- made avaialabe to other parts of the organization