Document Data Connection Artifact Suggestion System
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Solution Overview
Problem
Users face challenges when creating data connections and queries in productivity applications, as defining these can be time-consuming and discouraging, often leading to duplication of efforts, and existing search tools disrupt the normal workflow.
Innovation Solution
The system suggests relevant report artifacts, such as data connections and queries, from other documents based on similarities, allowing users to easily add them to their documents, enhancing productivity by surfacing relevant documents and artifacts in the user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually create data connections and queries in productivity applications, then they can access external data sources and perform data analysis, but the process becomes time-consuming and painstaking
Solution Approach 1:
The system performs preliminary actions by automatically discovering and pre-configuring data connections and queries based on document content and context, so that when users need data analysis functionality, the groundwork is already done, significantly reducing the time required to create data connections
Solution Approach 2:
The system enables self-service by automatically identifying relevant data sources, creating data connections, and generating queries without requiring manual user configuration, allowing the system to serve itself in setting up data infrastructure
2Ease of manufacture
If users manually search through other documents to find useful connections and queries, then they can avoid duplicating efforts, but this falls outside of normal workflow
Solution Approach 1:
The system merges the document creation workflow with the data connection discovery workflow, so that finding and reusing existing data connections happens seamlessly within the normal document creation process, rather than requiring separate manual search operations
Solution Approach 2:
The system acts as an intermediary that automatically searches and identifies relevant data connections from other documents, presenting them to users within the context of their current work, thus mediating between the need to avoid duplication and maintain workflow continuity
3Ease of operation
If users are not familiar with data connection tools, then they can use productivity applications more simply, but they cannot effectively create data connections and queries
Solution Approach 1:
The system performs the complex task of data connection creation automatically based on document context, eliminating the need for users to understand or configure data connections manually, thus maintaining simplicity while ensuring capability
Solution Approach 2:
The system performs preliminary analysis of document content and automatically prepares appropriate data connections and queries, so that users receive ready-to-use configurations without needing to understand the underlying data connection mechanisms
Data Source
AI summary
Disclosed herein are systems, methods, and software for enhancing document productivity. In at least one implementation, an attempt to add a data connection in a document is identified. In response to identifying the attempt to add the data connection in the document, at least one other document is identified as relevant to the attempt. A suggestion may be surfaced in a user interface that identifies at least a portion of the one other documents.