What is Data? (2)
Analog vs. Digital Data
Analog data = continuous (e.g. thermometer’s scale)
Digital data = simplifies reality into limited states, usually 2 (on/off). For computers.
Computers work by representing and processing data in exact, reliable states = Binary System
2 values: 0 = off/ 1 = on
=> Computers only “understand” power on and power off
Bits vs. Bytes
Bit: Smallest unit of digital data, represents one binary state (0 or 1).
Byte = 8 Bits. Allows 256 possible combinations. Represent characters, numbers & other data.
Information (3)
Info = Meaning. Data that has been analysed & contextualised.
=> Gold Standard for decision making
=> e.g. temperature readings become information when analyzed to show trends.
Why Binary Matters? (3)
1) Simplicity: Only 2 states.
2) Reliability: Binary signals are less likely to be misread.
3) Universality: All digital content—text, sound, images—can be encoded using only 0s & 1s.
How Data Becomes Information: Name 3 Solutions
Syntactic processing
Semantic processing
Pragmatic processing
Syntactic processing
=> That’s for computers
Data into structures (e.g., grouping bits into bytes or mapping codes to characters).
Semantic processing
=> That’s for humans
Give meaning to structured data (e.g., interpreting “10112025” as a date).
Pragmatic processing
=> That’s for humans
Meaning to action (e.g., using that date to plan an event).
DIKW Hierarchy
Data = Raw facts (e.g. Celsius)
Info = Structured & contextualized data
(e.g. Average daily Celsius)
Knowledge = Patterns & insights derived from information
(e.g. seasonal trends)
Wisdom = Applying knowledge to make decisions
(e.g. Adjusting farming methods to climate trends)
The Role of Context: Without context, data is ambiguous. With context, it becomes info.
Context is essential for data to gain meaning. The same value can mean different things depending on how it is interpreted:
“120” as blood pressure → normal systolic value.
“120°F” as temperature → extreme heat.
Explain why information is a key resource in digital economy
-> “Information System”
Information System (=peeps, technology, processes & data => info) needed for good decision making.
E.g.: Healthcare systems: Turn patient data into diagnostic information.
Info-Overload
-> “Is too much Information bad? -> YES
Info-Overload = Excessive Info = Difficulty to process, understand info or make decision.
5 Quality Criteria for Information
-> ARTCC
1) Accuracy
2) Relevance: Info is needed currently?
3) Timeliness: Info available when required?
4) Completeness: Info includes all details?
5) Consistency: Info consistent with other reliable info?
Storing Digital Data: Magnetic Storage
Computers need to store data, not just process it. Data is always stored as 0s & 1s, but in different physical ways
=> HDDs for bulk storage
=> cost-effective for archiving large amounts of data but slow
=> good for businesses managing extensive archives.
Storing Digital Data: Optical Storage
CDs & DVDs use tiny surface pits & lands, read by lasers.
Pits (lower areas) = ‘0’
Lands (flat areas) = ‘1’
=> Distributing data like software, movies, or records
=> good for backups
=> good for securely distributing infos
Storing Digital Data: Flash Memory & Solid-State Drives
=> Fast, portable, reliable
=> For laptops, smartphones, cloud servers
Binary/ Data Transmission (sending data)
Data transmission = sending 0s & 1s using physical signals
🧠
0/1 = light switch (on/off)
e.g.:
Cable (electricity):
High voltage = 1
Low voltage = 0
Fiber cable (light):
Light ON = 1
Light OFF = 0
Data transmission: Impact on businesses
By ensuring a clear framework—simple on/off states—computers achieve speed, reliability, & error minimisation
Additionally, innovation benefits from global connectivity, as reliable data transmission (based on binary states) facilitates collaboration, remote work, and automation across borders