Intro to Business Information Systems: Ch 6 Flashcards

1
Q

data granularity

A

refers to extent of detail within data (fine/detailed or coarse/abstract)

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2
Q

Levels of organizational data

A

individual, department, enterprise

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3
Q

Formats of organizational data

A

Document, Presentation, Spreadsheet, Database

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4
Q

Granularities

A

Detail (Fine) - reports for a salesman, Summary - reports for all salespeople, Aggregate (Coarse) - reports across departments/organizations

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5
Q

4 Primary traits of value of data

A

Data type, data timeliness, data quality, data governance

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6
Q

transactional data

A

all data contained in a single business process/unit of work and its primary purpose is to support daily operational tasks

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7
Q

analytical data

A

all organizational data, and primary purpose is to support performing of managerial analysis tasks

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8
Q

real time data

A

immediate, up to date data

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9
Q

real time systems

A

provide real time info in response to requests

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10
Q

data inconsistency

A

when some data elements has different values

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11
Q

data integrity

A

measure of quality of data

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12
Q

high quality data

A

accurate, complete, consistent, timely, unique

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13
Q

low quality data

A

missing, incomplete, inaccurate, wrong, duplicate

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14
Q

data gap analysis

A

when company examines data to determine if can meet business expectations, while identifying possible data gaps or missing data

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15
Q

data steward

A

responsible for ensuring policies/procedures are implemented across organizations and activities as a liaison between MIS department and business

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16
Q

data stewardship

A

management and oversight of organizations data assets to help provide business users with high quality data that is easily accessible in consistent manner

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17
Q

data governance

A

refers to overall management of availability, usability, integrity, and security of company data

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18
Q

master data management

A

practice of gathering data and ensuring it is uniform, accurate, consistent, and complete including entities of customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated a ross organizational systems

19
Q

data validation

A

includes tests and evaluations used to determine compliance with data governance policies to ensure correctness of data

20
Q

database

A

maintains data about various types of objects (inventory), events (transactions), people (employees), and places (warehouses)

21
Q

database management system (DBMS)

A

creates, reads, updates, and deletes (CRUD) data in a database while controlling access and security

22
Q

structured query language (SQL)

A

asks users to write lines of code to answer questions against a database

23
Q

Query by example (QBE) tool

A

helps users graphically design answers to questions against a database

24
Q

Data dictionary

A

compiles all metadata about data elements in the data model

25
Q

data element (data field)

A

logical data structures that detail relationships among data elements by using graphics or pictures

26
Q

metadata

A

provides details about data

27
Q

relational database model

A

stores data in form of logically related, 2D tables

28
Q

relational database management system

A

allows users to create, read, update, and delete (CRUD) data in relational database

29
Q

entity

A

table that stores data about a person, place, thing, transaction, or event

30
Q

attributes (columns and fields)

A

data elements associated with an entity

31
Q

record

A

collection of related data elements

32
Q

primary key

A

field or group of fields that uniquely identifies a given entity in a table

33
Q

foreign key

A

primary key of one table that appears as an attribute in another table and acts to provide logical relationship between two tables

34
Q

Business advantages of relational database

A

increased flexibility, increased scalability and performance, reduced data redundancy, increased data integrity (quality), increased data security

35
Q

physical view of data

A

physical storage of data on storage device such as hard disk

36
Q

logical view of data

A

focuses on how users logically access data to meet particular business needs

37
Q

data latency

A

time it takes for data to be stored or retrieved

38
Q

Business rule

A

defines how company performs certain aspects of business where the results are yes or no or true or false

39
Q

Data redundancy

A

duplication of data or storage of same data in multiple places

40
Q

data integrity

A

measure the quality of data

41
Q

integrity constraints

A

rules that help ensure the quality of data

42
Q

relational integrity constraints

A

rules that enforce basic or fundamental information based constraints

43
Q

business critical integrity constraints

A

enforce rules vital to organizations success, these require more insight and knowledge than relational integrity constraints

44
Q

identity management

A

broad administration area that deals with identifying individuals in system and controlling their access to resources in that system by associating user rights or restrictions with established identity