ACC200 Ch7 Set 1 Flashcards

(20 cards)

1
Q

Transforming Data to Information to Business Technology?

A

Fig7.1 pg259

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2
Q

Relational databases are well suited for?

A

storing data

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3
Q

Intelligence tools are better suited for?

A

data analysis to create business intelligence

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4
Q

Three main functions of the accounting system?

A

1) store accounting data
2) analyse accounting data to use in decision making
3) safeguard the accounting data

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5
Q

Data mining

A

uses mathematical algorithms to find patterns, trends, & relationships among data, such as customer purchasing patterns

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6
Q

Predictive modeling

A

uses mathematcal algorithms to predict future trends, such as future customer purchases

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7
Q

Accounting system functions: store, analyse & safeguard data

A

Fig7.2

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8
Q

Three types of business decisions

A

1) routine operational decision (structured decisions)
2) tactical decisions (semi-structured decisions)
3) strategic decisions (unstructured decisions)

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9
Q

Routine operational decisions?

A

are recurring & typically relate to ongoing business operations

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10
Q

Tactical decisions

A

typically short term, impacting one year or less

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11
Q

Strategic decisions

A

usually long term in nature & structure with a high degree of ambiguity

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12
Q

Integrative decision model (IDM)

A

provides a framework to structure & organise the decision making process

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13
Q

Integrative decision model (IDM) template

A

Fig7.3 pg262

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14
Q

IDM consists of seven steps as a framework for the decision-making & evaluating process

A

1) define the opportunity or issue
2) identify options to address the opportunity or issue
3) analyse quantitative (financial) factors
4) analyse qualitative (nonfinancial) factors
5) make recommendation and/or decision
6) implement decision
7) evaluate performance

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15
Q

Integrative Decision Model (IDM)

A

Fig7.4 pg262

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16
Q

Shadow data

A

used when data is stored in spreadsheets & other tools that shadow the formal accounting system

17
Q

Business intelligence (BI) technologies

A

include analytics, data mining, & predictive modeling; typically under the control of the enterprise’s IT professionals

18
Q

Four components in an intelligence enterprise system are

A

1) data storage
2) data extraction
3) data analysis
4) data visualisation

19
Q

Intelligence System Components

20
Q

Data storage

A

data is stored using operational databases, data warehouses, & other data storage