Autonomic DBAM Engine for Unified Business Intelligence
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Solution Overview
Problem
The division of labor in business processes leads to splintered business intelligence across multiple interfaces, making it difficult to achieve operating efficiencies and requiring innovative solutions for strategic reassembly of distributed intelligence to enhance business models and productivity.
Innovation Solution
A Discrete Business Activity Management (DBAM) engine that utilizes Grid Technologies and autonomic computing to integrate and manage business intelligence across partner entities, creating a universal business activity mosaic for real-time decision-making and cost management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the division of labor is implemented across multiple business entities, then specialization and innovation are enhanced, but business intelligence becomes splintered across multiple interfaces making it difficult to achieve operating efficiencies
Solution Approach 1:
The patent merges distributed business intelligence from multiple independent business entities into a unified view through the DBAM engine. The system combines data from separate entities while maintaining their operational independence, effectively merging information without merging organizational structures. This resolves the contradiction by preserving specialization while eliminating intelligence splintering.
Solution Approach 2:
The DBAM engine serves as a universal platform that can access and integrate business intelligence across multiple different business entities and interfaces. It provides multi-functional capability to handle diverse data sources and formats, enabling operating efficiency improvements without requiring each entity to sacrifice its specialized functions.
2Ease of operation
If traditional business interfaces are used to manage business attributes, then entity autonomy is maintained, but instantaneous access and rendering of business conditions is difficult achieving
Solution Approach 1:
The DBAM engine acts as an intermediary layer between business entities and their attributes. It provides autonomous access to business conditions without requiring direct interface modifications between entities. The intermediary enables instantaneous rendering of business conditions while preserving entity autonomy through standardized access protocols.
Solution Approach 2:
The patent adds a new dimensional layer of abstraction above traditional business interfaces. Instead of improving speed within existing interface constraints, it creates a new dimension of access through the DBAM engine that can simultaneously maintain autonomy and provide instantaneous data rendering across multiple entities.
3Adaptability or versatility
If distributed business intelligence is accessed through multiple interfaces, then entity independence is preserved, but data parallax increases making unified decision-making difficult
Solution Approach 1:
The DBAM engine merges distributed business intelligence into a unified data structure that eliminates data parallax. It combines information from independent entities while maintaining a consistent view, allowing unified decision-making without compromising entity independence. The merging occurs at the information layer, not the organizational layer.
Data Source
AI summary
Discrete Business Activity Management is a method whereby continuous streams of data formatted in one or more taxonomies, originating from two or more networked entity domain nodes within a Grid Framework or equivalent, are extracted at two or more independent times and synchronized to an assigned time index, then translated into each other's taxonomy or harmonized, securely filtered and, routed thereby creating a universal or federated view of business activity over time, which may be viewed in the context of any single domain. An apparatus which performs DBAM consists of processing, storage and network hardware and software, along with software which integrates the function of the DBAM within a Grid Framework or equivalent. The apparatus is further configured as a service for sale to subscribers through the addition of administrative software architecture to manage subscriber access, proprietary information, data element integrity and quality of service in connection with distributed applications.