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Data vs Knowledge vs Information - Coggle Diagram
Data vs Knowledge vs Information
DATA
Collection of raw, unprocessed facts, information, and statistics that may take shape in several different forms
--> Can be measured, reported and analyzed.
--> Can be qualitative (description) or quantitative (numbers).
CATEGORIES OF DATA
*Structured data
- Data that is organized into a specific format, which makes it easier to search, analyze and process.
Unstructured Data
- Data that does not have a specific format or structure.
--- May include text documents, images, videos, and other data that cannot be analyzed, brought together or organized without making the use of additional processing.
Types of DATA
Categorial Data
-- Data that is defined in a category for examples: marital status, eye colour, etc.
Numerical Data
is future divided into:
--->
Discrete Data
- Data that contains discrete numerical values, for instance, number of children.
--->
Continuous Data
- Data that consists of continuous numerical values like, weight and voltage
INFORMATION
Data that has been processed, organized, structured, and given context in a way that makes it meaningful and useful.
TYPES OF INFORMATION
Primary Information
-- Original data that is collected firsthand to serve a specific purpose, eg: Survey responses and interviews.
Secondary Information
-- Information that has been collected, processed, and put out or published by others. example, research articles, books and reviews (any type).
Quantitative Information
-- Data in the form of numerical values that can be measured and quantified, for example, financial reports and sales figures.
Qualitative Information
-- Descriptive data that is not numerical, for example, interview transcripts, observational notes and personal narratives.
KNOWLEDGE
Facts, information, and skills that are acquired through experience or education.
Involves the application of information.
It can be explicit (documented) or tacit (understood through experience.
TYPES OF KNOWELEDGE
https://www.bing.com/ck/a?!&&p=2f7b9e57d97e05375b7cc8b56bc5be0130fadbbe835b888db1f1d606afae401bJmltdHM9MTc0Mjg2MDgwMA&ptn=3&ver=2&hsh=4&fclid=14bbb81d-a4c0-608e-1d11-ad6ba5e361d7&psq=types+of+knowledge&u=a1aHR0cHM6Ly93d3cueW91dHViZS5jb20vd2F0Y2g_dj1pSTM3RWVLZUloQQ&ntb=1
Explicit Knowledge
-- Information that is structured that can be documented systematically and shared.
Implicit Knowledge
-- Skills that one has learned, or Know-how gained through real life experience.
Tacit Knowledge
-- Knowledge that is unspoken and intuitive.
Declarative Knowledge
-- Knowledge of facts and information.
A Priori Knowledge
-- Knowledge that is based on reason or deduction.
A Posteriori Knowledge
-- Knowledge that is based on experience or observations.
INFORMATION MANAGEMENT vs DATA MANAGEMENT
INFORMATION MANAGEMENT
The process of organizing, analyzing and utilizing data to generate meaningful insights.
It serves a purpose to help businesses make informed decisions, improve efficiency, and support the businesses strategic goals.
DATA MANAGEMENT
A functional system for collecting and analyzing raw datasets.
The main goal pf the process is to help individuals and organizations and optimize the use of data by maintaining the policy and regulations
USE OF TECHNOLOGIES IN BUSINESSES
Both data and information management technologies can significantly benefit businesses in several different ways:
Enhancing decision-making process
-- By proving businesses with the accurate and timely information that they may need to make informed decisions that align with their strategic goals.
Operational efficiency
-- Workflow is improved when streamlined data processes reduce redundancy, which ultimately leads to cost savings and an increase in productivity.
Customer Insights
-- The analysis of customer data helps businesses understand the preferences and behaviours of their customers, which enables personalized marketing and improves customer service.
Risk management
-- The effective management of data and information can help businesses identify and mitigate risks that are related to data breaches and compliance issues.
Competitive Advantage
-- When information is leveraged effectively, it leads to improved innovation and market positioning.
CASE STUDY
!
World Athletics, formerly known as the International Amateur Athletics Federation and International Association of Athletics Federations and formerly abbreviated as IAAF, is the international governing body for the sport of athletics, oversees various competitions, including the World Championships and the Olympic Games. To manage these events effectively, World Athletics employs various information systems that enhance operational efficiency, athlete performance tracking, and fan engagement.
Event Management Systems
- Event Management systems are software applications that help plan, execute, and analyze events.
They streamline processes such as scheduling, resource allocations, and logistics management. For example, world athletics makes use of event management systems to coordinate the logistics of all their competitions, which included the scheduling of heats and venue management, and ensuring all resources, equipment, and personnel are in place.
Event Impact Assessment (EIA) Framework
-- A comprehensive system that measures the success of events across various pillars, including attendance, economic impact, media reach, social influence, and environmental factors,
An example of the use of this system or/ framework would be when world athletics utilized it during the World Athletics Championships, the EIA Framework assessed the event's total impact, aiding in strategic planning for future championships.
Biomechanics Research Program
-- A system that collects and analyzes biomechanical data to understand athletic performance and inform coaching strategies.
An example would be the use of this system at the World Athletics Championships in London, where high-speed cameras were used to capture the movement of athletes to provide insights into techniques that differentiate top performers.
Athlete Management System
-- Athlete management systems are platforms that track and manage athlete data, including performance metrics, health information, and training schedules.
For example, World Athletics makes use of an athlete management system to monitor the training and performance of athletes, allowing coaches and sports scientists to analyze data and make informed decisions regarding training regimens and competition strategies.
Fan Engagement Systems
-- These systems are designed to enhance the experience of fans through interactive platforms, social media integration, and personalized content delivery.
For instance, World Athletics uses fan engagement systems to provide real-time updates, live streaming of events, and interactive features on their website, and mobile apps, allowing fans to engage with the sport and follow their favourite athletes.
Web Competition Information System (WebCIS)
-- An online platform that provides real-time event data, including live results, athlete profiles, and automated commentary.
For instance, During World Athletics Series events, WebCIS offers broadcasters and journalists immediate access to competition data, reducing the need for physical hardware and minimizing the event's carbon footprint.
https://cis.worldathletics.org/about
Broadcast Graphics System
-- A system that integrates live data into broadcast visuals to enhance viewer experience.
Example, World Athletics collaborated with Deltatre to develop dynamic graphics for live events, providing real-time statis
Timing and scoring System
-- These systems are designed to accurately record the times and scores of athletes during competitions. They often use advanced technology such as RFID chips and photo-finish cameras.
For example, the World Athletics Organization makes use of these systems at their events, in order to capture athletes' performance in real-time, providing accurate results that are immediately available to officials, athletes, and fans.
