Record Object Indexing for Matching Electronic Activities
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Solution Overview
Problem
Managing large volumes of heterogeneous electronic communications in systems of record is challenging due to manual data input being time-consuming and error-prone.
Innovation Solution
A system that generates index files for record objects, processes electronic activities to match them with record objects using search queries, and links activities to the highest matching record object based on calculated scores, incorporating features like domain and mention scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data input is used to manage electronic communications in a system of record, then data can be entered into the system, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system automatically performs data extraction, indexing, and matching operations without human intervention. The processors autonomously generate index files from record objects, extract data from electronic activities, calculate match scores, and link activities to record objects, eliminating the need for manual data entry and reducing both time consumption and errors.
Solution Approach 2:
The patent replaces the mechanical process of manual data entry with an automated computational system. The system uses processors to perform data extraction, indexing, and matching operations that were previously done manually, substituting human labor with automated technological processes that are faster and more accurate.
2Productivity
If index files are generated for each record object to enable automated matching, then data input efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the data management process into distinct components: record objects are processed to generate separate index files, electronic activities are independently analyzed, and matching is performed through systematic comparison. This segmentation allows each component to be optimized independently while maintaining overall system productivity.
Solution Approach 2:
Index files are generated in advance from record objects before the matching process begins. This preliminary action prepares the data structures ahead of time, enabling faster and more efficient matching operations when electronic activities need to be linked to record objects, thus improving overall productivity.
3Ease of operation
If automated matching using search queries and match scores is implemented, then manual effort is reduced, but computational resources increase
Solution Approach 1:
The system extracts only the necessary subset of data from electronic activities to create search queries, rather than processing entire messages. By focusing on relevant fields and generating match scores based on key parameters, the system reduces computational overhead while still achieving automated matching and linking functionality.
Data Source
AI summary
The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.


