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Analytics From Data to Knowledge: The Information Hierarchy

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Explore data, information, knowledge and their hierarchy.

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Analytics From Data to Knowledge: The Information Hierarchy
 

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Analytics From Data to Knowledge: The Information HierarchyOnline version

Explore data, information, knowledge and their hierarchy.

by Muhammad Asif
1

Today , our world produces vast amounts of that fuel decisions and trends . Data becomes when it is given context , transforming numbers into meaningful messages . Information then evolves into when we apply it to real problems and experiences . This ? data , information , knowledge ? underpins modern society and technology , guiding communication , policy , and innovation . Understanding this progression helps us evaluate sources , make informed choices , and turn data into .

2

At the most basic level , consists of raw , unprocessed facts , figures , and symbols . These are the fundamental building blocks of . Data on its own has little meaning . For example , the numbers " 10 , 25 , 40 " are just a set of values . It is only when we provide context that this data becomes information . Information is data that has been organized , processed , or structured in a way that gives it meaning . For instance , if we add the context that the numbers " 10 , 25 , 40 " represent , they become meaningful information . This transformation of data into information is a cornerstone of how we make sense of our world . Finally , is the understanding and application of information . If a farmer knows that a temperature of 10 degrees Celsius is too cold for their specific crop , they are using knowledge to make a decision . Knowledge is built from information through , learning , and .

3

The sources of are everywhere . In a business context , data can come from sales transactions , customer feedback , and inventory levels . In the sciences , it's gathered from sensor readings , lab results , and observations . This constant flow of data has led to the rise of a new concept : . Big data is a term that describes extremely large , diverse , and complex data sets that grow at an accelerating rate . Its characteristics are often defined by the : , , and .

4

The sheer volume of is immense , often measured in terabytes or even petabytes . Its refers to the speed at which it is generated and must be processed , often in real - time . The of big data is what makes it particularly challenging and valuable , coming in many formats and types . These sources include social media posts , machine sensor data , and video recordings . This diversity means that big data applications are found in countless situations . For example , in , big data is used to analyze patient records to predict outbreaks . In , it helps to understand consumer behavior and personalize recommendations . Big data is transforming industries by enabling organizations to find patterns and insights that were previously impossible to discover .

5

To handle this massive variety of data , different formats have been developed . For text - based information , represents characters using a standard numerical code . More advanced formats for structured data include and . XML uses to define elements and attributes , creating a document structure . JSON uses a simple , human - readable syntax of key - value pairs , making it a popular choice for web applications and APIs . These formats enable data exchange , storage , and interoperability across platforms and programming languages .

6

Beyond text , many other data types exist . For audio , formats like Audio Interchange File Format ( ) and Waveform Audio File Format ( ) store uncompressed audio , ensuring high quality but requiring large file sizes . Image formats like , , and each serve different purposes , from the compressed , web - friendly _____ to the lossless , transparent _____ , and the high - quality , professional _____ . Even simple plain text has standardized formats like Comma - separated Values ( ) , where data is organized by commas , or _____ , also known as , where each piece of data occupies a specific number of characters .

7

Data can be classified by its fundamental data type . A can only hold one of two values , either or false . are whole numbers , while include decimal values . represent single letters or symbols , and a String is a sequence of characters . A is specifically used to represent calendar dates .

8

Data can be classified in broader terms : is descriptive and non - numerical , such as a person's hair color or a customer's review . , on the other hand , is numerical and can be measured , like a person's height or the number of sales . Furthermore , data can be , which means it is highly organized and fits into a fixed format , like a spreadsheet or a database table . In contrast , lacks a predefined format , with examples including emails , social media posts , and videos .

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