We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The “Four Layer” Model Applied to Unstructured Content
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Decision Management > The “Four Layer” Model Applied to Unstructured Content
Decision ManagementUnstructured Data

The “Four Layer” Model Applied to Unstructured Content

MIKE20
MIKE20
4 Min Read
The “Four Layer” Model Applied to Unstructured Content
Photo by Andre_Grunden on Pixabay (https://pixabay.com/photos/cards-double-head-hand-to-play-2937475/)
SHARE

Author: Robert Hillard

In my book, Information-Driven Business, I introduce a four layer model for information.  You can also read more about this model in the MIKE2.0 article: Four Layers of Information.

The four layer model provides a way of describing information in every organisation.  The model explains how information is consumed (layer 1: metrics), navigated (layer 2: dimensional), held (layer 3: atomic) and created (layer 4: operational).  Using this model helps to organisation to understand where it is overly dependent on staff or customer knowledge to manage information at any of these layers (such as summarising to report, or slicing-up in spreadsheets to answer questions).

Some people have commented that the descriptions I use in the book, and are used in the MIKE2.0 article, are geared towards structured data.  To help readers understand how the model equally applies to both structured and unstructured data, the following definitions of each layer may help

More Read

Where Did the ‘Data Explosion’ Come From?
Where Did the ‘Data Explosion’ Come From?
The World’s Largest, Fastest, Most Agile Supply Chain
First Look: FICO Decision Optimizer
How Open is Too Open?
Will Google Glass Turn Big Data into Huge Data?

Layer 1: Metrics
For information to be used for management decision making, it ultimately needs to be summarised into a score or metrics against which “good” or “bad” can be defined.  This is the same regardless of whether we are talking about structured data or summarising a collection of unstructured content.  The metric for documents could be as simple as a count (for example, the number of policies) or a combination of factors such as the number of processes covered by a particular type of policy.

Layer 2: Dimensional or Navigational
While formally described as the dimensional layer, it is perhaps better described as the way that the organisation can be navigated.  At this layer we are talking about structuring the content in way that we can find in a systematic way (via a taxonomy).  It is from here that metrics, such as a count of policies, can be derived.  It is also from here that we go to find content in its general form (“get me all procedures associated with disaster recovery”).  For instance, in this layer policies can be cross referenced against each other.

Layer 3: Normalised or Atomic
In the unstructured sense it is better to use the term “atomic” for this layer which contains the content in its original form reference by the event that created it rather than a business taxonomy.  This layer is often handled badly in organisations but can be as simple as recording the time, author and organisational hierarchy.  It can also be aligned to business processes.  For instance, in this layer, policies and procedures should be fully formed but only associated with the scope that they are covering.

Layer 4: Operational
The fourth layer is the front line and refers to the situation and technology context in which the content is created or updated.  Examples include: social media, documents on network drives and email within the inbox of the conversation participants.  For instance, in this layer, policies are created (maybe in many parts) but have no context.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article presents a bifurcated enterprise decision: European organizations evaluating VMware alte
Cloud Infrastructure and Workload Migration: A Data-Driven Look at VMware Alternatives in Europe
Cloud Computing Exclusive
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods  -- AI-generated illustration
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods 
Big Data Exclusive
Illustration of mobile analytics dashboards with ad performance charts connected to backend databases
11 Best Sisense Alternatives for Embedded Analytics
Business Intelligence Exclusive
Analyst points at colorful circular data dashboard on screen - information technology business metrics
How Fragmented Workplace Tech Undermines Reliable Business Metrics and Reporting
Cloud Computing Exclusive Infographic IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Unstructured data is a myth
AnalyticsText AnalyticsUnstructured Data

Unstructured data is a myth

5 Min Read
Information Cascades, Revisited
Decision ManagementUnstructured Data

Information Cascades, Revisited

6 Min Read
First Look – FICO Model Central
Decision ManagementModelingPredictive Analytics

First Look – FICO Model Central

8 Min Read
Black Swan Alert: Low Tech Links Devastate High Tech Supply Chains
AnalyticsCommentaryCulture/LeadershipDecision ManagementExclusiveRisk Management

Black Swan Alert: Low Tech Links Devastate High Tech Supply Chains

4 Min Read

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

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?