Fill The Blank:
Before data can be used it as to be ………………………
Generated
Explain:
Human generated data
Data generated by every day people using digital systems
State:
2 examples of human generated data
2 of:
* Emails
* Social media posts
* Digitla communications, files
* Images, audio and video files
Explain:
AI
- Science of training machines to perform human tasks
Explain:
ML
- Teaches digital device how to learn
- Looks for patterns in data and uses these patterns in data to draw conclusions
Explain:
Sensors
- Carry out a range of processes which can result in data being generated
- Measures physical item and converts this into a digital system
Explain:
The IoT
Collection of smart devices which can connect to each other and exchange data using the internet
State:
2 examples of what an IoT device connected to the internet can do
2 of:
* Collect data and send it through the internet
* Receive information from the internet
* Both
State:
2 components of an IoT device
2 of:
* Snesors
* Connectivity
* Data processing
* UI
Fill The Blank:
Data collected by IoT can be processed into more useful ………………. for ………………….. making
Information, Decision
Explain:
Device to Device (D2D)
Connection occur when data is transferred from one device or to another over a network
Explain:
Human to Device (H2D)
(Usually with a UI) or a voice command to interact with a device
State:
3 uses of transactional Data
- Can be created between organsation and organisation or organisation and customer
- Can be used to identify trends and patterns that are occurring in any interactions the organisations may have
- Can be used for ofrecasting future cash flows which could lead to a change in a process
- Can be used to produce targeted marketing to customers
- Can be used to inform future decisions
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6.1.1 The differences and links between data, information and knowledge19
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6.1.2 Why organisations need data and information and how they are used8
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6.1.3 How data is generated13
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6.2.1 The forms that data can take and their implications for use and analysis11
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6.2.2 The difference between file-based and directory-based structures, and how they are used in data analysis6
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6.3.1 The features and functions of data systems and their importance to organisations35
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6.3.2 The purpose of business information tools and their use in business12
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6.3.3 The features of different data models and how organisations use them to organise data18
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6.4.1 Factors that determine how data is gathered, entered and maintained29
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6.4.2 The purpose of data analysis tools and their use in business16
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6.4.3 The role of metadata classification in defining the meanings of data8
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6.4.4 The use of data/access entitlements/permissions management, and their impact on organisations and stakeholders7
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6.4.5 (APIs) How data can be accessed and managed across different platforms6
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6.4.6 The concepts of data at rest, data in use and data in motion, and when each is used5
