Social Network Data Visualization Cards for Business Intelligence Distribution
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Solution Overview
Problem
Conventional business intelligence systems lack a mechanism to distribute vast amounts of business intelligence information effectively, resulting in much of this data going unused by users.
Innovation Solution
A method is introduced to create and associate data visualization cards with user accounts, forming a social network that links users based on common business intelligence data, allowing for the distribution of business intelligence information through these cards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional business intelligence systems collect and store vast amounts of business intelligence data, then the quantity of available information increases, but the ability to distribute and utilize this information effectively deteriorates
Solution Approach 1:
The system segments business intelligence data into individual data visualization cards, each representing a specific insight or metric. These cards can be independently created, shared, and distributed to users based on their interests and roles, transforming the monolithic data storage approach into a modular information distribution system that improves effectiveness while maintaining quantity.
Solution Approach 2:
The patent introduces a social network as an intermediary layer between the business intelligence data and the users. This intermediary facilitates effective distribution by matching data visualization cards with users based on their interests, roles, and connections, thereby solving the distribution effectiveness problem without reducing the quantity of available information.
2Quantity of substance
If conventional business intelligence systems store vast amounts of business intelligence data, then the data volume increases, but the ability to make this data accessible to multiple users deteriorates
Solution Approach 1:
By segmenting large datasets into individual data visualization cards, the system makes data more accessible and manageable. Each card can be independently accessed, shared, and customized for different users, improving ease of operation while preserving the comprehensive data volume through the aggregation of multiple cards.
Solution Approach 2:
The social network framework provides universal access to business intelligence information through multiple functions: users can create cards, collect existing cards, share cards with specific audiences, and discover relevant cards based on their profiles. This multi-functionality improves accessibility without requiring users to manually navigate large data volumes.
3Loss of information
If business intelligence information is made available to all users, then information availability increases, but the relevance and utility of the information to individual users deteriorates
Solution Approach 1:
The system applies local quality by customizing information delivery to match individual user interests, roles, and preferences. Each user receives relevant data visualization cards based on their specific characteristics, improving information relevance while maintaining overall availability through the social network's broad reach.
Solution Approach 2:
The system incorporates feedback mechanisms where users can like, collect, or ignore data visualization cards, and this feedback is used to refine future recommendations. This feedback loop ensures that information availability is matched with user relevance by continuously adapting the information delivery based on user behavior and preferences.
Data Source
AI summary
A method for sharing business intelligence information includes creating a plurality of data visualization cards from business intelligence data in response to create requests from a plurality of user accounts. Each data visualization card is associated with the user account that requested its creation. Data visualization cards are also associated with user accounts that did not request their creation in response to collect requests from those user accounts. A social network is created amongst the user accounts using the data visualization cards such that user accounts associated with data visualization cards created from common business intelligence data are linked. A first data visualization card that was created in response to a create request from a first user account may then be provided to a second user account in response to determining that the first user account and the second user account are linked in the social network.