Chapter 3 Flashcards

1
Q

Two benefits of cloud computing

A

Production costs relating to hardware

Information, it automatically backed up on the cloud

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2
Q

The term Big Data refers to…

A

Large volumes of structure, data

Large volumes of unstructured data.

The technology required to handle that data.

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3
Q

 For reasons for finance to perform Big Data analytics

A

Finding trends

Understanding customer behaviour

Reducing costs

Analysing opportunities

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4
Q

Augmented

A

Added to

Make larger in size

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5
Q

Software as a service.

S A,AS

A

A remote based email service, for example

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6
Q

Infrastructure as a service.

IAAS

A

For example, Internet based storage for sharing docs remotely

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7
Q

Benefits of cloud, computing

Clouds

A

Competitiveness – who said the cloud can give small businesses, advantages

Limber – flexibility as a result of not having to invest in hardware.

Our planet – reduce carbon footprint

Unity – enables better collaboration and contribution.

Disaster recovery

Security dash reduce the chances of lost in transit.

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8
Q

Big Data

Definition

A

 Collections of data that are so large, that traditional methods of data collection are insufficient.

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9
Q

Big Data

The for V’s

A

Volume – the amount

Variety – the sources – structured or unstructured

Velocity – the speed at which it changes.

Veracity – it’s truthfulness.

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10
Q

Structured data

A

Data capture intentionally for an identified use

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11
Q

Unstructured data

A

Date of a mess with no identified purpose

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12
Q

Potential and strategic significance, Big Data

A

Information becomes more transparent and more accessible. It becomes more viable to predict trends, analyse customer behaviour and understand what they want.

It is possible to minimise risk by testing scenarios.

There is more potential for customer, segmentation, targeted marketing and customisation of products

Business make better decisions by revealing new insights Into production methods/processes,

Helps develop future products/services with a faster time to market

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13
Q

How finance may use Big Data?

A

Drive sales/revenue

Reduce costs

Internal audit

Drawback – expensive for a small or new business

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14
Q

Process automation

A

The use of software to carry out low-level tasks

Repetitive tasks

Results in huge cost savings 

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15
Q

Process automation can have a negative impact on staff morale (robots, taking our jobs)

A

Must be managed sensibly.

Make course redundancies

Can be motivating for staff if they will now be used in less routine ways

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16
Q

How finance may use process automation

A

Processing credit notes.

Sending customer statements

Performing supplier statement reconciliations

Basic tax returns.

Process automation may add to the role of internal audit 

17
Q

Artificial intelligence

A

Technology that can be used to make decisions. Are you carry out tasks required human intelligence

Learning machines 

18
Q

Benefits of machine learning

A

Machines can process considerably more data

Machines are able to identify patterns

Machines do not suffer from human characteristics, such as biased, tiredness of boredom

19
Q

Limitations of machine learning

A

Shit in shit out

20
Q

How finance may use artificial intelligence?

FAF

A

Forecasting

Accounting entries

Fraud detection

21
Q

How finance may use Blockchain

A

Validity of recordkeeping – checking and doublechecking is no longer required.

The removal of the need for the administrator will reduce costs.

Users of financial information will be able to trust it and there will be less need for external validation.

Businesses may essentially become cashless.

There are currently no accounting standards that cover crypto currencies.

Give assurance to auditors regarding ownership of assets.

22
Q

How finance may use the Internet of things

A

 Remote access can give feedback about wear and tear

Knowledge about how machines are working main form, costings and infantry valuation.

Up-to-the-minute, analytical procedures may inform pricing and decision-making.

23
Q

3-D. Printing definition

A

Printing 3-D. Objects from a variety of materials, for example, classic metal and even human tissue full time is sometimes called additive manufacturing (a.m.)

24
Q

Impact of automation on the 4 finance departments

A

Financial accounting dash coding of routine information

Management, accounting – forecasting

Treasury dash processing, certain tax returns

Internal audit – improve fraud detection

25
Q

Ethics of technology usage

Five moral dimensions of the information age

Pails

A

Property dash the right to protect intangible property

Accountability – who is accountable for the information

Information rights/privacy, the rights to be free from the surveillance or interference

Live quality – what are the negative social costs, and how do we achieve balance

Systems, – what standard of data and system quality to society demand

26
Q

Corporate digital responsibility

A

Voluntary commitment to go beyond corporate social responsibility.

Companies must clearly obey the law concerning data protection.

CDR is a commitment to protecting customers and employees and using new technologies and data responsibly.

27
Q

Development of CDR strategy

A

Digital Stewardship– developing a responsible approach to using data.

Customer expectations – transparency and ability to opt in

Giving back – using data to help society, rather than merely pursue corporate objectives.

Data value – rewarding/incentivise in customers to give data

Digital inclusion – ensuring lack of digital barriers in society.