Collaboration Group Integration with External Business Objects
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Solution Overview
Problem
Existing collaboration systems face limitations in integrating with external systems like CRM, often requiring manual data transfer and offering limited interaction sophistication, which hinders efficient data usage and decision-making.
Innovation Solution
A method and system that enable seamless integration by creating a collaboration group around complex data structures from external systems, using permanent references for bidirectional communication and auto-population of related objects, facilitated through object consumption definitions and standardized data access protocols like OData.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data transfer is used to integrate collaboration systems with external systems, then data can be exchanged between systems, but the integration process is time-consuming and inefficient
Solution Approach 1:
The system pre-establishes permanent references and bidirectional communication channels between collaboration systems and external systems before data exchange is needed. This allows data to be automatically synchronized when changes occur, eliminating the need for manual data transfer and significantly reducing integration time.
2Adaptability or versatility
If simple side-by-side integration is used between collaboration systems and external systems, then direct access is provided, but the interaction scope and sophistication are limited
Solution Approach 1:
The system introduces permanent references as intermediary elements that connect collaboration systems with external systems. These references enable sophisticated bidirectional communication and data synchronization without requiring complex direct integrations, thus enhancing adaptability while managing complexity through standardized reference mechanisms.
3Ease of operation
If data is manually brought into collaboration environment object by object, then data can be accessed in collaboration tools, but the process is labor-intensive and inefficient
Solution Approach 1:
The system enables automatic data synchronization where external systems self-serve by pushing data updates to the collaboration environment through pre-established permanent references. This eliminates manual data import operations and allows data to be automatically available in collaboration tools when changes occur in external systems.
4Reliability
If collaboration systems operate in isolation, then system simplicity is maintained, but real-time updates and historical recordkeeping across systems are hindered
Solution Approach 1:
The system implements bidirectional feedback mechanisms through permanent references, where changes in external systems automatically trigger updates in the collaboration environment and vice versa. This ensures reliable real-time synchronization and historical recordkeeping across systems while maintaining manageable integration complexity through standardized reference protocols.
Data Source
AI summary
Various embodiments of the present disclosure provide improved mechanisms and techniques for integrating computer based collaboration systems with other systems. Various embodiments involve creating a collaboration group around a business object created in another system, and maintaining communications with the other system such that updates regarding actions taken with regard to the business object may be received from and sent to the other system. In various embodiments, the information provided by the other system is displayed in a user interface of the collaboration system. In some embodiments, the information provided by the collaboration system is displayed in a user interface of the other system. In some embodiments, historical information regarding actions taken in the collaboration group is stored, and made available for later retrieval even after the collaboration group is no longer active.