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
data element (data field)
logical data structures that detail relationships among data elements by using graphics or pictures
26
metadata
provides details about data
27
relational database model
stores data in form of logically related, 2D tables
28
relational database management system
allows users to create, read, update, and delete (CRUD) data in relational database
29
entity
table that stores data about a person, place, thing, transaction, or event
30
attributes (columns and fields)
data elements associated with an entity
31
record
collection of related data elements
32
primary key
field or group of fields that uniquely identifies a given entity in a table
33
foreign key
primary key of one table that appears as an attribute in another table and acts to provide logical relationship between two tables
34
Business advantages of relational database
increased flexibility, increased scalability and performance, reduced data redundancy, increased data integrity (quality), increased data security
35
physical view of data
physical storage of data on storage device such as hard disk
36
logical view of data
focuses on how users logically access data to meet particular business needs
37
data latency
time it takes for data to be stored or retrieved
38
Business rule
defines how company performs certain aspects of business where the results are yes or no or true or false
39
Data redundancy
duplication of data or storage of same data in multiple places
40
data integrity
measure the quality of data
41
integrity constraints
rules that help ensure the quality of data
42
relational integrity constraints
rules that enforce basic or fundamental information based constraints
43
business critical integrity constraints
enforce rules vital to organizations success, these require more insight and knowledge than relational integrity constraints
44
identity management
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