Unified Data Analytics Portal for Multi-BI Dashboards
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Solution Overview
Problem
Existing Business Intelligence (BI) tools and portals fail to provide a unified interface for data analytics, leading to fragmented user experiences, duplication of data assets, lack of accountability, and inadequate privacy and security, with complex configuration and high costs for generating data insights across multiple platforms.
Innovation Solution
A system and method for generating an improved user interface that provides a single point access for data analytics, enabling personalized data insights through a unified digital experience, dynamic access configuration, and monitoring user behavior, while avoiding duplication and ensuring privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple BI tools and platforms are used to provide comprehensive data analytics solutions, then data analytics capabilities and versatility are improved, but device complexity and user interface fragmentation increase
Solution Approach 1:
The patent combines multiple BI tools and platforms into a single unified portal that provides access to diverse data analytics capabilities. The portal integrates heterogeneous data sources, analytical engines, and visualization tools from different vendors while presenting a consistent user interface, thereby resolving the contradiction between versatility and interface complexity.
Solution Approach 2:
The unified portal is designed as a universal access point that supports multiple data analytics functions, tools, and platforms through a single interface. It provides multi-functional capabilities including data exploration, analytical processing, visualization, and collaboration features across different BI ecosystems without requiring separate tool interfaces.
2Adaptability or versatility
If multiple analytical solutions and tools are deployed across different platforms, then data analytics functionality is improved, but ease of operation deteriorates due to fragmented access workflows
Solution Approach 1:
The unified portal acts as an intermediary layer between users and multiple underlying BI tools and platforms. It provides a standardized access workflow that abstracts the complexity of heterogeneous analytical solutions, allowing users to interact with diverse data analytics capabilities through consistent operations without needing to learn multiple tool-specific interfaces.
Solution Approach 2:
The portal implements universal access mechanisms that enable single sign-on, unified search, and consistent data retrieval across different analytical solutions and platforms. This multi-functional approach maintains ease of operation while supporting diverse analytical capabilities through standardized interaction patterns.
3Adaptability or versatility
If data analytics assets are distributed across multiple platforms and tools, then analytical capabilities are improved, but loss of information increases due to scattered data analytics insights
Solution Approach 1:
The unified portal merges data analytics assets from multiple platforms into a centralized catalog that preserves and provides access to all analytical insights. It consolidates data sets, analytical models, visualization assets, and processing logic from heterogeneous sources while maintaining their integrity and enabling unified discovery and access across the organization.
Data Source
AI summary
A system and method for generating an improved user interface for data analytics is provided. A first type of data analytics action is performed based on a user request. Data insights are fetched based on the first type of data analytics action for rendering one or more data assets as one or more result sets. Further, a sharing functionality is provided for sharing the one or more data assets for multiple access. Lastly, data assets are rendered in the form of one or more visualization types associated with different Business Intelligence (BI) tools based on a pre-defined set of rules. The rendered multiple data assets are combined based on a second type of data analytics action for configuring and rendering dashboard.