LO3 categories and analysis Flashcards

1
Q

what does data refer to? 3.1

A

unprocessed facts or statistics that have no context

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2
Q

what does information refer to? 3.1

A

data that has been processed, organised and structured into context

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3
Q

what are the categories of information for individuals? 3.2/3.3

A

communication, education and training, entertainment, planning, financial, research, locating dependant

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4
Q

what are the categories of information for organisations? 3.2/3.3

A

knowledge management and creation, management information systems, marketing promotion and sales, financial analysis and modelling, contact management, decision making, internal and external communication, big data

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5
Q

purpose of data analysis 3.4

A

the process of identifying and collecting data to be viewed and moddled, in the aim of discovering patterns or trends that can be used for conclusions and decision making

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6
Q

stages of data analysis 3.4

A
  1. Identify the need
  2. Define the scope
  3. Identify potential sources
  4. Source and select information
  5. Select the most appropriate tools
  6. Process and analyse data
  7. Record and store information
  8. Share results
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7
Q

what is regression analysis? 3.4

A

determining of relationships
(e.g. the amount spent on advertising bottled water increases meaning consumption and profits may rise too. )

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8
Q

what is trend analysis? 3.4

A

shows patterns over time
(e.g. bottled water consumed each year over the past decade.)

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9
Q

data analysis tools 3.5

A

(whats used depends on the type of project and the objectives of it)

data tables, visualisation of data, trend pattern and identification. data cleaning, GIS/location mapping

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10
Q

data tables 3.5

A
  • Tables make it easier to update, view and manipulate.
  • Allows the most simple form of pattern discovery and is a good method of speedy, short-term data analysis.
  • Shows data in its current format, can’t show change over time or trends.
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11
Q

visualisation of data 3.5

A

Producing a chart or graph makes it easier to see patterns and trends, it makes it easier to understand and quicker to interpret.

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12
Q

trend pattern and identification 3.5

A
  • Links to the visualisation tool in allowing trends and patterns to be viewed as a visual format, such as a line graph of last years stock sales.
  • Statistical analysis allows data analysts to examine numerical data and if done correctly can highlight relationships between different data elements such as the price of a product and how many have been sold. - - Discovering the link between variables is known as regression analysis.
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13
Q

data cleaning 3.5

A
  • Ensures any stored data is up-to-date and accurate following the Data Protection Act 2018.
  • Forms of data cleaning include removing customers who have not made a purchase in a certain amount of time and periodically checking that the user addresses are up to date.
  • Data cleaning would reduce the size of any data table by removing redundant, incorrect or unnecessary data.
  • This would make it easier to work with the data table and would improve the data quality by removing erroneous and irrelevant data.
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14
Q

GIS.location mapping 3.5

A

= Geographic information systems can be used to add geographic data to any analysis.
(For example, an organisation can track the geographical location of items or staff e.g. tracking the movement of a shipment of containers around the world to see production flow. This would also work for courier services to see delays and delivery times in real-time.)

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15
Q

what are the two types of information system? 3.6

A

open and closed

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16
Q

open information systems 3.6

A

can interact with other information systems to exchange data even from different platforms. is at more risk of being hacked or losing data due to it being open.

17
Q

closed data systems 3.6

A

is private and cannot exchange data with other systems. access is limited but is more secure than an open system.

18
Q

ISSITASS? 3.4

A

identify, scope, source, information, tools, analysis, store, share