Category: Asset Management

Date: 02/02/2024

Subject: The transition from Information to Knowledge involves the processing, organising, and understanding of raw data or facts.

Audience: LinkedIn

Topic: Our Top-5 elements that contribute to this are…..

➡️ Contextualisation: Understanding the context in which information is presented is crucial. Establishing the ‘Context’ within your Data Foundation helps in interpreting data and making connections between different pieces of information.

➡️ Meaning or Relevance: Identifying the relevance of information to a particular topic or problem is essential - filter out the unnecessary details and focus on what’s important.

➡️ Integration: Knowledge often involves the integration of different pieces of information into a coherent framework. Connecting related concepts helps in forming a more comprehensive and holistic understanding.

➡️ Synthesis: Synthesising information means combining elements to create new insights or perspectives. This step goes beyond simple analysis and involves generating a higher-level understanding by merging information in a meaningful way.

➡️ Experience: Experiences contribute significantly to knowledge. Applying information in real-life situations and learning from those experiences adds a practical dimension to understanding.

The transition from Information to Knowledge is a dynamic process that involves active engagement with data and a conscious effort to extract the meaning and understanding that enables salient data driven decision making.

Remember, Knowledge is Power !!

For more detailed information on this transition and our Enterprise level Unified NameSpace, contact Diriger or read our Insight Paper at: A Single Source of Truth Leaves No Asset Data Behind