Unified Entity Resolution Platform for Multi-Service Data Integration
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Solution Overview
Problem
Conventional systems for businesses require complex and time-consuming tasks to integrate marketing, sales, and service interactions, often relying on separate databases and APIs, which hinders efficient data sharing and synchronization across activities like marketing, sales, and service.
Innovation Solution
A multi-service business platform with entity resolution methods using artificial intelligence for deduplication, enabling the creation of custom objects and universal contact objects that can be used across various activities, and integrating CRM systems for improved data management and customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate databases and APIs are used for marketing, sales, and service activities, then data can be stored in specialized systems, but data integration and synchronization become complex and time-consuming
Solution Approach 1:
The patent merges multiple separate databases (marketing, sales, service) into a unified data structure where all customer interactions are stored in a single standardized format. This eliminates the need for complex APIs and data transformation processes, allowing seamless access to customer data across all business functions without sacrificing data accuracy or specialization.
Solution Approach 2:
The unified data structure serves multiple functions simultaneously: it stores marketing campaign data, sales transactions, service interactions, and customer profiles in a single system. This universal structure replaces multiple specialized databases while maintaining the ability to retrieve and process specific types of data efficiently for different business functions.
2Measurement precision
If data is stored in separate specialized databases, then data quality for specific functions is maintained, but data access and transformation across systems becomes time-consuming
Solution Approach 1:
The system performs preliminary data standardization and normalization when data is first entered into the unified structure, pre-processing it into a format that can be immediately accessed by any function. This eliminates the need for time-consuming data transformation and format conversion when retrieving data for marketing, sales, or service activities.
3Adaptability or versatility
If multiple separate systems are used for different business activities, then each system can be optimized for its specific function, but synchronization and data sharing between systems become complex
Solution Approach 1:
The patent combines multiple functionally-optimized data storage approaches into a single unified data structure that maintains specialized fields for marketing, sales, and service data while eliminating the need for separate systems. This single structure synchronizes all data automatically without requiring complex inter-system communication or data reconciliation processes.
4Productivity
If conventional data integration methods are used, then data can be transferred between systems, but the processes are complex and time-consuming
Solution Approach 1:
The patent extracts the complex data transformation and synchronization processes entirely by designing a unified data structure that natively supports all business functions. Data is stored once in the standardized format and can be directly accessed by any function without requiring extraction, transformation, loading, or synchronization processes that characterize conventional integration methods.
Data Source
AI summary
The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems, the creation, development, maintenance, and use of a set of custom objects for use in a wide range of activities, including sales activities, marketing activities, service activities, content development activities, and others, as well as improved methods and systems for sales, marketing and services that make use of such entity resolution systems and methods as well as custom objects.