Data Watch Rules for Automated Analytics Notifications
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Solution Overview
Problem
Conventional data analytics systems lack automated notification mechanisms for users when specific conditions are met in datasets, requiring manual consultation and creating workbooks or watchlists, which is inefficient and complex, especially on mobile devices.
Innovation Solution
Implement data watch rules and notifications that allow users to create rules-based alarms directly from dataset sources, enabling automated notifications on mobile devices without the need for workbooks or watchlists, using data watch constructs to monitor conditions and trigger alerts when specified criteria are satisfied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual consultation and workbook creation are used for data monitoring, then users can access data, but the process is inefficient and complex
Solution Approach 1:
The system enables users to create data watch rules directly from dataset sources without requiring manual workbook creation. The system automatically monitors conditions and sends notifications, allowing the system to serve itself rather than requiring complex manual processes for data monitoring.
Solution Approach 2:
The patent extracts the data monitoring and notification functionality from the traditional workbook-based system. By separating these functions into standalone data watch rules that can be created directly from dataset sources, the system eliminates the need for complex workbook creation and manual consultation processes.
2Ease of operation
If workbooks or watchlists are used for data monitoring, then data can be tracked, but user interaction becomes more complex
Solution Approach 1:
The patent extracts data monitoring capabilities from the workbook interface and enables users to create data watch rules directly from dataset sources. This eliminates the need to navigate through complex workbook or watchlist interfaces, simplifying user interaction while maintaining data tracking functionality.
3Loss of time
If automated notifications are implemented, then timely alerts can be provided, but system complexity increases
Solution Approach 1:
The system implements automated notifications by enabling data watch rules to automatically monitor conditions and trigger alerts when criteria are met. The system serves itself by automatically detecting condition satisfaction and sending notifications without requiring manual intervention, thereby reducing response time while keeping the architecture relatively simple.
Data Source
AI summary
Embodiments described herein are generally related to a data analytics environment and computer-based techniques for providing data-based notifications within the data analytics environment. The technique involves establishing rules based on specific data and conditions such that, when the specific data meets the conditions, a notification is provided to a user. The technique involves receiving user input indicative of parameters for a data watch construct, configuring the data watch construct based on the user input, receiving a trigger for a notification from the data watch construct when a configured condition is satisfied, and displaying the notification to the user.