Moving Data Between Apps¶

Understanding how data moves through our system helps you make the most of all three applications. Here's a simple guide to how information flows from collection to action.

The Data Journey¶

Step 1: Data Enters Sagacity¶

What happens: Raw information comes in from your various sources - Customer interactions - Sales data - Performance metrics - External system feeds

What you see: Data being collected and organized in real-time

Step 2: Sagacity Processes the Data¶

What happens: The system cleans and prepares your information - Removes duplicates - Fills in missing information - Organizes data into categories - Applies business rules

What you see: Clean, structured data ready for analysis

Step 3: Bridge Moves the Data¶

What happens: Processed data travels securely to where it's needed - Transfers information between applications - Ensures data arrives complete and on time - Maintains security during transfer - Handles any format conversions needed

What you see: Smooth, automatic data synchronization

Step 4: Lift Displays the Data¶

What happens: Information appears in easy-to-use dashboards - Creates visual charts and reports - Organizes data for decision-making - Provides interactive tools for analysis - Sends alerts when attention is needed

What you see: Clear insights and actionable information

Data Flow Examples¶

Daily Operations¶

Morning: New customer orders flow into Sagacity
Processing: Sagacity validates and organizes order information
Transfer: Bridge sends processed orders to Lift
Dashboard: Lift shows updated sales metrics and inventory levels
Action: You make informed decisions about fulfillment and restocking

Monthly Reporting¶

Collection: Sagacity gathers a month's worth of performance data
Analysis: System calculates trends and key metrics
Distribution: Bridge ensures all reports have the latest data
Presentation: Lift creates comprehensive monthly dashboards
Review: You analyze performance and plan for the next month

Data Quality and Accuracy¶

Automatic Validation¶

Each application checks data for accuracy
Errors are caught and corrected early
You get reliable information for decision-making

Real-Time Updates¶

Changes appear across all applications immediately
No delays between data entry and reporting
Always working with the most current information

Backup and Recovery¶

Data is protected at every step
Automatic backups ensure nothing is lost
Quick recovery if any issues occur

What You Don't Need to Worry About¶

Technical Details¶

Data formats and conversions happen automatically
No need to understand technical specifications
System handles all the complexity behind the scenes

Manual Data Entry¶

Information flows automatically between applications
Reduces errors from manual copying
Saves time on repetitive data tasks

Synchronization Issues¶

All applications stay in sync automatically
No conflicts between different versions of data
Consistent information across all tools

Benefits for Your Daily Work¶

Faster Decisions¶

Information is ready when you need it
No waiting for data to be prepared
Quick access to insights

Better Accuracy¶

Automated processes reduce human error
Consistent data handling across all applications
Reliable information for important decisions

More Time for Strategy¶

Less time managing data
More time analyzing and planning
Focus on growing your business instead of maintaining systems

Monitoring Data Flow¶

System Status¶

Check the health of data connections
See when data was last updated
Monitor for any processing delays

Data Quality Reports¶

Review accuracy of information
Identify any data issues early
Ensure high-quality insights

Usage Analytics¶

Understand how data flows through your organization
Optimize processes based on actual usage
Improve efficiency over time