Feature Prioritization for AnalyzThis

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Method 2: Buckets

Prioritize your features based on customer requests, customer delights, and metric movers.
The Buckets method is inspired by , former Head of Product & Growth at Dropbox. Read more in .
Bonus: Does your team use Jira? Use the to sync and bucket your Jira issues in Coda.
Which bucket needs attention?

Features by Buckets
Name
Bucket
Secure login with credentials
User-friendly welcome page
Supports multiple file types (.xls, .xlsx, .csv)
Drag-and-drop file upload
Browse and select files
Option to upload single or multiple sheets
Database connection for direct data imports
Structured table-format display
Uses conversational language for querying data
Quick access to specific data queries
Profile customization
Configuration of user settings
Permission management
Intuitive and easy-to-navigate dashboard
Clear and responsive design
Accessible sidebar navigation for all features
Automatic data processing post-upload
Handling of complex datasets with multiple sheets
Ability to create detailed graphs
Add visualizations to dashboards
Interactive dashboard elements for deeper insights
Create detailed reports from visualizations
Export reports in multiple formats (PDF, Excel, etc.)
Schedule automatic report generation
Draggable dashboard elements
Real-time data updates
Dashboard sharing and collaboration features
Pre-built analytical templates for common business needs ?
Advanced data transformation and modelling via chat
Predictive analytics and forecasting
Data encryption at rest and in transit
Role-based access control
Compliance with industry standards (GDPR, HIPAA, etc.)
Share feature for report and Dashboard as interactive html link or pdf
Data sharing with external stakeholders ?
Commenting and annotation on visualizations
User Profile avatars
Customizable user settings, UI Theme, Chart color theme, Fonts, Report Style
Quick and easy access to connected data
Breadcrumb navigation for better user orientation
Suggestion engine for optimal graph types
Proactive recommendations based on data patterns
Generate data insights across different datasets
Unified view of connected data insights
Drill-down capabilities in charts and graphs
Dynamic filtering and sorting within visualizations
Creating Dynamic relationship between data of cards.
Drill Through and roll up of charts
Enhance Data Modeling Capabilities
Expand Visualisation options to use different charts and libs
Build Advanced ETL Tools
Enterprise-Grade Security and Management
There are no rows in this table

Buckets
Bucket
Count
Metric Mover
0
Customer Requests
0
Customer Delight
0
There are no rows in this table

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