Organizational Data Model for Strategic Decision Support

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Solution Overview

Problem

Conventional data management systems fail to provide accurate and comprehensive representations of organizational concepts necessary for strategic decision-making, often relying on raw data that is not relevant or up-to-date, and neglect external factors, leading to inefficient and inaccurate decision support.

Innovation Solution

A system and method that generates a model representing organizational features, linking internal and external data sources to provide relevant and predictive information, allowing for the calculation of required data values even when raw data is absent, and incorporating causal effects and relevance to support informed decision-making.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional data management systems use raw data from databases to answer strategic queries, then data accessibility is improved, but accuracy of strategic representation deteriorates

Engineering Contradiction:
Improvedata accessibilityVSAvoidaccuracy of strategic representation
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary layer (data model with concepts, attributes, and relationships) between raw data and strategic queries. This intermediary translates operational data into strategic concepts, enabling accurate representation of strategic issues while maintaining data accessibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates a conceptual copy or representation of the organization's strategic structure through data models that mirror organizational concepts, relationships, and hierarchies. This copy allows strategic queries to be answered accurately without directly manipulating raw operational data.

Inventive Principle:
Principle #26Copying

2Reliability

If data warehouses are created and regularly updated to provide current information, then data relevance is improved, but system complexity and expenditure worsen

Engineering Contradiction:
Improvedata currencyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts only the essential strategic concepts, attributes, and relationships needed for decision-making from the complex data warehouse infrastructure. This simplifies the system by focusing on what is truly necessary for strategic queries rather than maintaining comprehensive data storage and processing capabilities.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If comprehensive data processing capability is built into the system to ensure accurate answers, then answer accuracy is improved, but processing time worsens

Engineering Contradiction:
Improveanswer accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary action by pre-defining data models, concepts, attributes, and relationships that represent the organization's strategic structure. This preparation work is done once during system setup, enabling rapid and accurate response to strategic queries without requiring extensive processing each time a query is submitted.

Inventive Principle:
Principle #10Preliminary action

4Loss of information

If conventional systems focus only on internal organizational data, then data completeness for operational queries is improved, but comprehensiveness for strategic decisions deteriorates

Engineering Contradiction:
Improveinternal data completenessVSAvoidstrategic comprehensiveness
Core Design Contradiction:
Loss of informationVSAdaptability or versatility

Solution Approach 1:

The patent makes the data model universal by designing it to accommodate both internal organizational data and external contextual factors. The model can represent multiple perspectives and types of information (internal operations, external environment, strategic concepts) within a unified framework, enabling comprehensive strategic analysis.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9195731B2System and method for data provision
Publication Date: 2015.11.24 HUBLSOFT GRP LTD
  • US9195731B2 patent drawing
  • US9195731B2 patent drawing

AI summary

A method and system is provided for the generation of a model to represent at least part of an organization. The model includes a plurality of items of relevance to the organization and said items are linked to each other and/or one or more organization database and/or one or more data sources external to the model so as to be able to generate, in a predefined manner a response to a user request made of the model. Thus user's receive appropriate automated support for their decision processes which is more efficient and allows better informed decisions to be made on the basis of the responses from the model. As the model is generated with reference to the organization rather than the raw data sources the use of the model is supportive of the organization work methodology and the responses are at the required level with respect to the decisions are to be made within the organization.