A Mining Method to Create Knowledge Map by Analysing the Data Resource (1403.7292v1)

Abstract: The fundamental step in measuring the robustness of a system is the synthesis of the so called Process Map.This is generally based on the user raw data material.Process Maps are of fundamental importance towards the understanding of the nature of a system in that they indicate which variables are causally related and which are particularly important.This paper represent the system Map or business structure map to understand business criteria studying the various aspects of the company.The business structure map or knowledge map or Process map are used to increase the growth of the company by giving some useful measures according to the business criteria.This paper also deals with the different company strategy to reduce the risk factors.Process Map is helpful for building such knowledge successfully.Making decisions from such map in a highly complex situation requires more knowledge and resources.

• The paper presents a mining method for creating process maps that expose causal relationships and key variables to assess system robustness.
• It demonstrates how constructing a business structure map yields measurable insights that drive strategic growth and effective risk reduction.
• The approach facilitates enhanced decision-making by aligning resource allocation with critical insights derived from data analysis.

The paper you are interested in discusses a methodology for creating a "Knowledge Map" by analyzing data resources, focusing on the synthesis of a "Process Map." This map is crucial for understanding a system's robustness by identifying causal relationships and significant variables within a dataset.

Key Points:

1. Process Map Importance:
   • The Process Map serves as a visual and analytical tool to understand complex systems, particularly in business settings.
   • It aids in identifying which variables are crucial to system functionality and how they interact.
2. Business Structure Map:
   • Also referred to as a business structure map or knowledge map, this framework is utilized to analyze and enhance business growth.
   • It provides measurable insights aligned with specific business criteria, helping organizations to achieve strategic goals.
3. Risk Reduction Strategies:
   • The paper explores strategic approaches for reducing risk factors within a company.
   • By leveraging the knowledge map, companies can make informed decisions even in complex scenarios, allowing for more effective risk management.
4. Decision-Making Enhancement:
   • The creation and utilization of such maps facilitate better decision-making processes in high-complexity situations.
   • The map aids in resource allocation, ensuring that decision-makers have the necessary knowledge and insights to guide business strategies.

Overall, the paper emphasizes the transformative potential of knowledge maps in fostering business growth and managing risks through data-driven insights. The approach detailed in the paper underlines the importance of structured data analysis in strategic business decision-making.