Structuring Industry Knowledge

There is a fine balance between knowledge and execution to produce a working output. 

 Too much emphasis on knowledge can delay execution. 

 Too much emphasis on execution can compromise the output. 

There are three types of knowledge that a working professional should acquire: industry, enterprise and project knowledge. 

Generic knowledge = Industry knowledge

Implementable knowledge = Project Knowledge

Knowledge Driven Development (KDD) is all about structuring knowledge (DKF) for faster delivery (AKM)

It helps acheiving the fine balance between knowledge and execution activities

In both industry and academia, KDD introduces many firsts across knowledge and execution

KDD - Transforming the way indstry knowledge is structured, taught and applied. 

Product-Process Mesh is a 2-dimensional matrix structure - A Fundamental Construct of Industry Knowledge.

Product is offering of an Industry. Process is lifecycle activities of a product. Node is the intersection point of product-process mesh and nugget is the unit of information attached to a node. 

Examples from Insurance and Banking are provided to get an appreciation of these terms. 

Understanding these terms are key to understanding industry knowledge. 

Parent node is dissected into child product-process mesh splitting product and process to the next level resulting into multiple child nodes. 

The regeneration feature has allowed the flexibility to capture industry knowledge both at high level and at detailed level. 

Here is Industry Knowledge Structure (IKS) with three layers out of which two layers Conceptual and Operational consisting of various layers of Product-Process mesh.

Contextual Knowledge covers high level topics that can be considered as nodes and details of that topic are nuggets. However, there is no Product-Process mesh for Contextual Knowledge. 

At operational level, nuggets are at atomic level that can not be split any further. An example of atomic nugget - Date of birth can be a future date. 

Enterprise knowledge consists of interconnected busineness and IT knowledge. Business knowledge is structured as per industry knowledge structure

IT knowledge is also having 4 layers of hierarchy starting from IT application and going upto business transaction. IT nodes and nuggets populate the IT knowledge structure. 

Interconnected Business and IT nuggets at the last level represent the real detailed knowledge of the enterprise. 

For all practical purposes this part of the enterprise knowledge structure (detailed knowledge) constitutes major portion of the project knowledge. This fully traceable project knowledge - most of the methodologies still struggle to achieve. 

Four boxes represent comon concerns related to domain knowledge and project delivery. 

The four characteristics of KDD in the central circle address these concerns. 

KDD achieves a fine balance between knowledge an execution activities. 

KDD can be used as a new methodology as well as a knowledge structuring proposition for existing methodologies.

KDD structure when populated, can act as a reliable input to GEN AI reducing hallucination. 

GEN AI assists in populating the KDD structure – its nodes and nuggets for different industry.