Local Ingestion Server Canonical Data Format
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Solution Overview
Problem
The fragmentation of business data across traditional locally installed software and Software as a Service (SaaS) applications leads to logical and physical separation, increasing vulnerability to network issues, data divergence, compliance challenges, and exposure to loss or theft, while proprietary data formats complicate holistic data indexing and analysis.
Innovation Solution
A Local Ingestion Server (LI Server) is introduced to reside within a business's Local Area Network (LAN), providing backup storage for both locally generated data and SaaS data, converting data into a canonical format for holistic analysis and ensuring compliance by reducing reliance on cloud-based storage and minimizing network risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is stored across multiple SaaS servers and private storage servers, then data accessibility and functionality are improved, but data fragmentation and security vulnerability increase
Solution Approach 1:
The patent combines data from multiple SaaS applications and private storage servers into a unified data warehouse, consolidating previously fragmented data into a single secure location while maintaining accessibility through the analysis system
Solution Approach 2:
The patent introduces a data warehouse as an intermediary component between SaaS applications and analysis tools, serving as a centralized buffer that improves data accessibility while enhancing security by controlling access points
2Ease of manufacture
If SaaS applications are used instead of locally installed software, then IT infrastructure costs are reduced, but data control and compliance management become more difficult
Solution Approach 1:
The data warehouse acts as an intermediary that simplifies data control and compliance management by providing a centralized location where data from multiple SaaS applications can be uniformly accessed, monitored, and controlled, reducing the complexity of managing distributed data
3Adaptability or versatility
If data is stored in proprietary formats from different applications, then application-specific functionality is preserved, but holistic data analysis becomes more difficult
Solution Approach 1:
The patent transforms data from various proprietary formats into a unified standardized format within the data warehouse, changing the structural parameters of the data while preserving the informational content, thereby enabling holistic analysis without losing application-specific functionality
Data Source
AI summary
A “Local Ingestion” (LI) Server resides and operates in the LAN of a business organization, and provides backup storage for data generated using various software applications locally installed on client terminals (“non-SaaS data”) and data generated using various SaaS applications accessed by client terminals via the Internet (“SaaS data”). The LI Server can receive data generated in a native format by either a local non-SaaS application or one or more SaaS applications and convert from different native data formats to an application platform-independent or “canonical” format for backed-up SaaS data and non-SaaS data. The LI Server may then analyze data generated using different source applications, and backed-up in a canonical format, so as to identify particular content, patterns, relationships, and/or trends and thereby extract valuable business-related or other information from multiple cross-platform files.