Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Defining Analytics: Data, Information and Knowledge
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Defining Analytics: Data, Information and Knowledge
Predictive Analytics

Defining Analytics: Data, Information and Knowledge

Steve Bennett
Steve Bennett
5 Min Read
SHARE

Following-up to my blog ‘Just Tell Me What I’m Doing‘, I’m starting a series of posts that define the key concepts and terms that make up my analytic world. Everything I do is coloured by my experience actually doing analytics in commercial organisations. So while I believe these posts will present practical definitions that will be actionable in the business world, I know that there are other worlds in academia and science where they are less relevant. At the very least, people in these areas will gain a better understanding of how business regards analytics.


Bennett’s AnalyticaCortec_black_logo  
   A Practitioner’s Guide To Analytics



Data, Information and Knowledge


Information is a collection of related data – often transformed and aggregated – about a topic. In business, that topic is often insight about…

Following-up to my blog ‘Just Tell Me What I’m Doing‘, I’m starting a series of posts that define the key concepts and terms that make up my analytic world. Everything I do is coloured by my experience actually doing analytics in commercial organisations. So while I believe these posts will present practical definitions that will be actionable in the business world, I know that there are other worlds in academia and science where they are less relevant. At the very least, people in these areas will gain a better understanding of how business regards analytics.


Bennett’s AnalyticaCortec_black_logo  
   A Practitioner’s Guide To Analytics



Data, Information and Knowledge


Information is a collection of related data – often transformed and aggregated – about a topic. In business, that topic is often insight about an operational area or a performance question. In analytics, information is often used interchangeably to mean ‘data’ but data is actually best thought of as something that on its own carries no meaning. The main differences are in the degree of meaning and the level of abstraction being considered. To explain:

Degree Of Meaning

Data, information and knowledge all have some degree of meaning. Even data has meaning at some level. For example:

  • data: 99.9 is a number (you know it is probably not text). There is still a possibility that 99.9 is code for a text string or value. 
  • information: 99.9 is the percent of transactions successfully processed by an application.
  • knowledge: 99.9 is 0.05 below the acceptable level for failed transactions with our customers.

Level Of Abstraction

Data is the lowest level of abstraction, information is the next level, and finally, knowledge is the highest level among all three.

Be careful: abstraction is not the same as summarisation. Summaries may only be the sum of individual pieces of data. This doesn’t change the data into information in and of itself. An example:

A list of amounts 5, 8, 5, 2 can be summed to 20. Is 20 information?

Sources

In the business intelligence world data is extracted from fixed sources (batch or in real time, it doesn’t matter). Sources are usually either transactional applications or reference data. All sources have meaning. Transactional data has meaning because:

  • each transaction is stored in one or more records and this gives context to the individual data items of the record.
  • the source application is known and that is information that gives additional meaning to the data.

Reference data also has meaning as the table(s) within which it is stored has an internal meaning due to the relationship between the table rows. Typically this meaning is either hierarchical (for example an organisational structure or products grouped into categories) or group (for example a list of product codes or currencies).

In order for data to become information, it must be interpreted and take on a meaning.

Analytica Illustration

An example (care of Wikipedia):

“The height of Mt. Everest is generally considered as “data”, a book on Mt. Everest geological characteristics may be considered as “information”, and a report containing practical information on the best way to reach Mt. Everest’s peak may be considered as “knowledge”.”

Related Terms and Concepts

Refer also to Data

Refer also to Metadata


Comments? Via form below or send feedback to
analytica@tbig.com.au
         version 0.1 201002



Link to original post

TAGGED:analyticsmetadata
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big data analytics
AnalyticsBig Data

How The Online Gaming Industry Uses Big Data Analytics To Grow

9 Min Read
Analytics

How can CIOs Build Business Value with Business Analytics?

8 Min Read

Target, Pregnancy, and Predictive Analytics – Part I

5 Min Read

Defining The Analytic Process

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?