Modular Insight Platform for Cross-Device Data Analysis
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Solution Overview
Problem
Users face challenges in managing and analyzing large volumes of data across various sources and devices, leading to overwhelming data analysis tasks and difficulties in leveraging co-worker data insights, especially when switching between different form-factor devices.
Innovation Solution
A system and method for providing dataset insights in productivity applications, where a query or command is processed by an insight platform to surface relevant insights, including visual and audio representations, summaries, and comparisons, using metadata and user interactions to generate insights such as charts, tables, and textual content, which can be shared across different devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually analyze and manage large volumes of data from multiple sources, then data analysis completeness improves, but user time and effort increase significantly
Solution Approach 1:
The system enables automated data analysis where the productivity application automatically queries datasets, generates insights, and creates visualizations without requiring manual user intervention. The application self-services by autonomously processing data from multiple sources and presenting analyzed results to users.
Solution Approach 2:
The system introduces an automated insight generation mechanism as an intermediary between raw data and user interpretation. This intermediary automatically processes datasets, identifies patterns, generates visualizations, and translates complex data into actionable insights, reducing the manual burden on users.
2Speed
If data is stored locally on individual devices, then data access speed improves, but data portability and cross-device collaboration deteriorate
Solution Approach 1:
The system creates insights with portable characteristics that can be universally accessed across different device form factors. The insight objects are designed to be device-agnostic, allowing the same insight to be rendered and interacted with on smartphones, tablets, desktops, and other devices without loss of functionality or performance.
3Adaptability or versatility
If users switch between different device form factors, then device flexibility improves, but maintaining consistent data analysis experience deteriorates
Solution Approach 1:
The system dynamically adapts the presentation and interaction of insights based on the device form factor being used. The interface and visualization parameters are adjusted according to device characteristics (screen size, input method, processing capabilities) while maintaining the core analytical value and functionality of the insights across all devices.
Data Source
AI summary
In non-limiting examples of the present disclosure, systems, methods and devices for assisting with providing dataset insights associated with datasets are presented. A dataset and a query relating to the dataset may be received. The dataset may be processed to determine metadata that describes one or more properties of the dataset. The dataset, the determined metadata, and the user query may be provided to one or more modular recommendation elements for processing into an insight result that indicates a result from data analysis directed to the query. The insight result may be transferred in a portable format for use by the productivity application in displaying one or more insight objects based on the insight result.