Proposal: Enhancing Filter Options in Oracle Analytics Cloud Data Visualization (OAC DV)

Executive Summary

The current filter functionality in Oracle Analytics Cloud Data Visualization (OAC DV) is significantly limited compared to competitor products, restricting users' ability to customize and interact with data effectively. This proposal aims to address these limitations by expanding filter options and improving the user interface.

Current Limitations

Existing Filter Options

Currently, OAC DV offers only five filter types:

• List
• List Box
• Radio Button
• Top/Bottom N
• Slider

Comparative Analysis

Competing data visualization tools provide substantially more advanced filtering capabilities:

Example from Excel :

OAC DV Filter Enhancement Roadmap

Key Proposed Improvements

1. Multi-Level Filtering

• Hierarchical and dependent filter structures
• Nested category and data level filtering
• Complex selection across multiple dimensions

2. Dynamic Filter Interactions

• Real-time filter updates
• Interconnected filter responses
• Automatic data context adjustment
• Intelligent filter chaining

3. Intuitive Filter Design

• Simplified, user-friendly interface
• Visual filter configuration
• Drag-and-drop customization
• Preset and custom filter templates

4. Context-Aware Filtering

• Intelligent filter recommendations
• Adaptive filtering based on data types
• Contextual filter suggestions
• Smart default configurations

Strategic Implementation Goals

• Enhance user data exploration capabilities
• Reduce complexity of filter management
• Improve overall user experience
• Align with modern data visualization standards

Conclusion

By expanding filter options and improving the user interface, Oracle can significantly enhance the value proposition of OAC DV, meeting the evolving needs of data visualization users across various industries.