Exclusion Management System for Calendar Data Filtering
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Solution Overview
Problem
Analyzing large electronic calendar data sets to determine collaboration patterns is hindered by the inclusion of irrelevant or skewing non-work meetings, requiring inefficient and resource-intensive processes to create and refine exclusion and exception rules to filter out such data.
Innovation Solution
An exclusion management system that provides real-time user interfaces indicating the impact of changes to exclusion and exception rules, allowing users to visualize and quantify the effects on the volume of meetings, thereby optimizing the exclusion process and reducing computational waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exclusion and exception rules are created and refined to filter out non-work meetings, then the accuracy of collaboration pattern analysis is improved, but the process becomes inefficient and resource-intensive
Solution Approach 1:
The system provides real-time feedback to users showing the impact of exclusion and exception rules on data set composition. As users add or modify rules, the interface immediately displays updated statistics about included and excluded meetings, allowing users to see the consequences of their filtering decisions without submitting and re-running analysis.
Solution Approach 2:
The system performs preliminary filtering and analysis before the user finalizes their rule set. By pre-calculating the impact of potential rule combinations and displaying projected outcomes, users can make informed decisions about which rules to implement, avoiding the need for multiple trial-and-error analysis runs.
2Reliability
If comprehensive exclusion rules are applied to remove irrelevant meetings, then the quality of analyzed data is improved, but computational resources are wasted processing excluded data
Solution Approach 1:
The system extracts and excludes irrelevant meeting data from the analysis pipeline before main processing occurs. By identifying and removing non-work meetings, personal appointments, and other irrelevant entries through pre-processing filters, the system ensures that computational resources are dedicated only to analyzing relevant work-related collaboration data.
Solution Approach 2:
The system performs preliminary exclusion filtering before the main analysis processing. By applying exclusion rules in advance and only passing filtered data to the analysis engine, the system avoids wasting computational resources on processing and analyzing data that would ultimately be excluded from results.
3Measurement precision
If users manually create and test exclusion rules iteratively, then accurate filtering is achieved, but time is lost in repeated analysis runs
Solution Approach 1:
The system provides immediate feedback on the impact of exclusion and exception rules as users configure them. The interface displays real-time statistics showing how many meetings would be included or excluded based on current rule settings, allowing users to optimize their filtering strategy without submitting multiple analysis runs.
Solution Approach 2:
The system creates virtual copies or simulations of the analysis process to evaluate rule impacts without executing full analysis runs. By modeling the effects of different rule configurations on sample data or through predictive calculations, the system allows users to test rule effectiveness instantly without the time cost of actual analysis execution.
Data Source
AI summary
A method may include receiving a request to save the exception to the first rule; in response to the request, updating the user interface, wherein: the first portion is updated to include a parameter of a second rule to exclude a subset of meetings from the ECDS; the second portion is updated to include an impact metric that indicates a percentage of meetings excluded from the ECDS based on an application of the second rule to the ECDS; and the third portion is updated to include selectable elements for creating an exception to the second rule; and a fourth portion of the user interface includes an indication of a number of meetings excluded from the ECDS based on application of the first rule with any exceptions to the first rule.