We’re talking Data.  Data, means Data means Nothing... Talk Information
Eddie Short and Dall-E

We’re talking Data. Data, means Data means Nothing... Talk Information

The problem for CDOs, CDAOs… We’re talking Data.  Data, means Data means Nothing

 Data is meaningless, we should be talking information. Information has Context!

There is a big difference between Data and Information, as well articulated by my friend GPT4o below

👉 Information means Business... The architecture of a business is the flow of information in, out and around it. When I set-up the Global Business Information Management (now Data and Insights) practice for Capgemini 20 years ago, I personally led the way selling 'Information Strategy' to clients. My clients liked Information Strategy - Information has context.  (GPT agrees) The Information Strategy concept was blown up by Big Data in 2010, as everyone wanted a (Big) Data Strategy. They were wrong - they still needed an Information Strategy. But the terms Data Strategy and CDO stuck and that my friends is where it all went wrong!!!

We can get into intellectual w%%king about information vs insight vs knowledge, wisdom, and analytical, predictive, description, Decisions and Actions.....

 BUT If we think about it, our primary purpose in life is to help the organisation do something Valuable with its Data.   Collecting, Storing, Managing, Enriching and giving the Data Context to make it Information, that’s in our Gift and actually useful.

Of course this opens the debate of CDO vs CIO.

I don't know about you, but I'm a real Chief INFORMATION Officer!


Data vs Information

 The distinction between data and information is fundamental in fields such as data science, information technology, and communication:

Data:

  • Definition: Raw, unprocessed facts and figures without context. Data can be numbers, characters, symbols, or even raw observations that need interpretation.
  • Characteristics:Lacks meaning on its own.Requires processing or analysis to become useful.Examples include: a list of numbers (e.g., 23, 45, 67), raw sensor readings, or text strings like "A1B2C3."

Information:

  • Definition: Data that has been processed, organized, or structured in a way that adds meaning and context. Information is useful for making decisions or understanding a particular situation.
  • Characteristics:Has meaning and relevance.Provides insight, knowledge, or understanding.Examples include: "The average temperature for the week was 23°C," or "Sales increased by 15% last quarter."

Key Differences:

  1. Context:Data: Lacks context and relevance.Information: Has context, making it meaningful and useful.
  2. Usage:Data: Used as input for processing.Information: Used for decision-making and problem-solving.
  3. Processing:Data: Requires analysis or organization to become information.Information: Is the output of data processing.
  4. Form:Data: Can be in the form of raw figures, observations, or recordings.Information: Can be reports, summaries, or insights derived from data.

In essence, data is like the raw ingredients, and information is the prepared dish that you can consume and use.

 

Diwan Mahon

CDO | Data Strategy | Analytics | Data Governance & Quality | Building successful teams

2mo

I see where you’re going with this, but my view is that data lays the foundation, it’s the transformation of data into information that builds understanding, and from that understanding comes the insight that drives action. I’ve also never really bought into the CIO title. Like you say, it’s about systems and tech.

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🆁 Robert Hamilton-Smith ™️

● Data Product Management ● Identity focussed ● Story Teller ● Dad and Husband ● Musician 🎼

3mo

I think we are dancing around the name but unfortunately it has been stolen and repurposed in some kind of cruel trick. All we are trying to do is provide ‘intelligence’ to the organization. That can be consumed in various methods. The human intelligence system is collect, consume, augument and apply ‘model’. Repeat. Nature does it best. Of course I have summed this up simply because the audience is contextually aware of this subject (you guys). We are all in this to facilitate the above.

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Dan Blake

Data and Technology | Financial Crime, Sanctions, AML & KYC SME | Harvard Business Review Advisory Council member

3mo

Moving data to information is essential - otherwise, it's useless. It does not help when many organisations (and certification bodies) use the terms data and information interchangeably. Data without context has no use. It's the context which allows us to value the information. I suspect a lot of this was done as the CIOs were not doing the "D"->"I" part of the role and some not doing the "I" part (as per prior comments on one of your previous posts), so the CDO was born. For those organisations where Data and Information meanings are interchangeable is the CDO=CIO and vice versa and why do you have two of them?

Graeme McDermott

Chief Data Officer at Tempcover

3mo

I’ve stopped (trying) using the word data to describe my teams activity

Fantastic insights, Eddie! I completely agree with your take on the data vs. information debate. Too often, organisations get lost in the race for "Big Data" without realising that data, without context, is just noise. It's the transformation of data into information that gives it value. In my experience, the focus should be on building an 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 that emphasises context, decision-driven analytics, and meaningful insights for the business. As you pointed out, CDOs must evolve beyond just data management—CDO's role is to architect the flow of information throughout the organisation, ensuring it’s enriched, relevant, and actionable. It’s time CDOs shift the narrative back to 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 and make that the heart of our digital strategies. Only then can CDOs truly unlock the potential of the data collected. Looking forward to continuing this dialogue, and if anyone else does too reach out to us at Intelligent Enterprise Partners LLP

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