Cognitive analysis for enterprise decision meta model

A system for providing enterprise decision making from a meta model comprising:

• a modeler for creating an industry force graph meta model for a client, wherein creating the industry force graph meta model comprises establishing graph min-cut, wherein the graph min-cut is the maximum number of connections a sign code can have identifying the maximum linkages a technology can have;
• a maturity calculator establishing a relationship for each maturity dimension to determine most relevant content from the industry force graph metal model;
• an industry trend evaluator for graphing most relevant content using a chromatic polynomial to map strongest industry trends in an industry force;
• a logic engine for building traversal logic to determine most relevant technologies for the strongest industry trends in the industry force;
• a component business model evaluator for identifying most relevant components of an component business model;
• a linkage generator including a set of instructions stored on memory to be executed by a processor for creating linkages between the strongest industry trends in the industry force to the most relevant components of the component business model, wherein the linkages provide data on client component performance in an industry force directed to maturity of the most relevant components of the business model;
• and
• modifying through automation a client business using most relevant components of the component business model, the most relevant components being selected from cloud integration and block chain memory.

A computer program product for providing enterprise decision making from a meta model comprising a computer readable storage medium having computer readable program code embodied therewith, the program instructions executable by a processor to cause the processor to:

• create, using the processor, an industry force graph meta model for a client, wherein creating the industry force graph meta model comprises establishing graph min-cut, wherein the graph min-cut is the maximum number of connections a sign code can have identifying the maximum linkages a technology can have;
• establish, using the processor, a relationship for each maturity dimension to determine most relevant content from the industry force graph metal model;
• graph, using the processor, most relevant content using a chromatic polynomial to map strongest industry trends in an industry force;
• build, using the processor, traversal logic to determine most relevant technologies for the strongest industry trends in the industry force;
• identify, using the processor, most relevant components of an component business model;
• create, using the processor, linkages between the strongest industry trends in the industry force to the most relevant components of the component business model, wherein the linkages provide data on client component performance in an industry force directed to maturity of the most relevant components of the business model;
• and
• modifying through automation a client business using most relevant components of the component business model, the most relevant components being selected from cloud integration and block chain memory.