Curated Digital Analytics Workspace for Non-Analyst Data Access
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Solution Overview
Problem
Businesses face challenges in analyzing and utilizing vast amounts of digital data due to the complexity of traditional data analytics systems, leading to over-reliance on analysts and underutilization of non-analyst employees' skills, as these systems overwhelm users with data and require extensive processing and interpretation.
Innovation Solution
A digital analytics workspace curation system that generates a curated workspace by selecting and limiting data elements and visualizations based on user characteristics and needs, allowing non-analysts to dynamically analyze data while guiding them through the analysis process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data analytics systems provide access to large volumes of data and complex analysis methods, then measurement precision and analysis capability are improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system segments users into different roles (analysts vs. non-analysts) and provides customized workspaces for each group. Non-analysts receive simplified interfaces with pre-configured data elements and visualizations, while analysts access the full functionality. This segmentation resolves the contradiction by tailoring system complexity to user needs.
Solution Approach 2:
The patent introduces an intermediary layer (the curation system) that sits between the complex analytics engine and non-analyst users. This intermediary automatically selects and presents only the most relevant data elements and visualizations to non-analysts, shielding them from system complexity while preserving access to sophisticated analysis capabilities when needed.
2Adaptability or versatility
If traditional data analytics systems provide comprehensive data access to all users, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
The system applies local quality by providing different levels of data access and interface complexity to different user groups within the same organization. Non-analysts receive a curated subset of data elements tailored to their specific roles and needs, while analysts retain access to the complete data universe. This resolves the contradiction by making the system adaptively simple for each user rather than uniformly complex.
3Measurement precision
If analysts manually curate and present data to non-analysts, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system enables self-service by automatically curating and presenting relevant data to non-analysts without requiring analyst intervention. The curation system uses algorithms to identify and display the most pertinent data elements and visualizations based on user roles, business context, and data relationships. This resolves the contradiction by automating the curation process while maintaining data interpretation quality.
Solution Approach 2:
The system performs preliminary action by pre-configuring and pre-curating data elements and visualizations before they are needed by non-analysts. The curation system continuously analyzes data relationships and user needs in advance, preparing customized workspaces that are immediately available when users log in. This eliminates the need for analysts to manually prepare reports at the last minute.
4Productivity
If comprehensive analytics capabilities are provided to all users, then productivity is improved, but device complexity increases
Solution Approach 1:
The system applies dynamics by making the interface and available functionality adaptive rather than static. The curation system dynamically adjusts the complexity and content of each user's workspace based on their role, experience level, and current task requirements. Non-analysts see simplified interfaces that guide them through common analysis tasks, while analysts can access advanced features when needed, optimizing productivity for each user without increasing overall system complexity.
Data Source
AI summary
Systems and methods are disclosed for generating a curated digital analytics workspace. In particular, in one or more embodiments, the disclosed systems and methods curate a digital analytics workspace based on a variety of factors to generate a curated digital analytics workspace capable of dynamically analyzing digital data elements. More specifically, one or more embodiments of the disclosed systems and methods limit data elements and/or analytics visualizations available in a digital analytics workspace based on user characteristics, data element features, or other factors to generate a curated digital analytics workspace. In this manner, the disclosed systems and methods can generate a curated digital analytics workspace that provides access to data elements and/or analytics visualizations targeted to the needs and capabilities of an individual or group while reducing confusion that often results from traditional analytics systems.