Business Intelligence Dashboard

Overview

The Business Intelligence Dashboard provides comprehensive analytics and insights across meetings, documents, team productivity, and AI usage. Make data-driven decisions with real-time metrics and trend analysis.

Dashboard Overview

Key Metrics

At-a-Glance:

• Total documents processed
• Meetings transcribed
• AI conversations
• Active users
• Storage used
• API calls made

Trends:

• Usage growth (MoM, YoY)
• Engagement metrics
• Feature adoption
• Cost tracking
• Performance indicators

Document Analytics

Usage Metrics

Document Statistics:

• Total documents uploaded
• Processing status breakdown
• File type distribution
• Average file size
• Storage consumption
• Upload frequency

Engagement:

• Most viewed documents
• Most searched documents
• Most shared documents
• Chat engagement by doc
• Average view time

Content Insights

Topic Analysis:

Top Document Topics (Last 30 Days)

1. Product Development (145 docs, 28%)
2. Marketing Strategy (98 docs, 19%)
3. Financial Reports (76 docs, 15%)
4. Customer Feedback (64 docs, 13%)
5. Legal/Compliance (52 docs, 10%)

Trending: API Development (+45% vs last month)
Declining: Q3 Planning (-60% as expected)

Search Patterns:

Popular Search Queries

1. "quarterly results" (234 searches)
2. "api documentation" (189 searches)
3. "pricing strategy" (156 searches)
4. "customer feedback" (142 searches)
5. "roadmap 2024" (128 searches)

Insight: API and product queries increasing

Meeting Analytics

Meeting Metrics

Volume:

• Meetings recorded per week
• Total recording time
• Average meeting length
• Participants per meeting
• Recurring vs ad-hoc

Efficiency:

Meeting Effectiveness Score: 78/100

Factors:
✅ Clear objectives (85%)
✅ Action items extracted (92%)
✅ Follow-through rate (76%)
⚠️ Average length trending up (45→52 min)
⚠️ Participant engagement (72%)

Recommendation: Consider shorter, more focused meetings

Participation Analysis

Speaker Distribution:

Team Meeting Dynamics

Sarah (Manager): 35% speaking time
John (Tech Lead): 28% speaking time
Alice (PM): 22% speaking time
Others: 15% speaking time

Balance Score: 72/100 (Good)
Engagement: High across team
Concern: Others speaking less over time

Meeting Types:

Meeting Breakdown (Last Month)

1-on-1s: 24 meetings (18%)
Team Standups: 20 meetings (15%)
Planning: 16 meetings (12%)
Client Calls: 12 meetings (9%)
All-Hands: 4 meetings (3%)
Other: 56 meetings (43%)

Average Duration: 32 minutes
Total Time: 42.7 hours

Action Item Tracking

Completion Metrics:

Action Item Performance

Created: 247 items
Completed: 189 items (77%)
In Progress: 42 items (17%)
Overdue: 16 items (6%)

By Team:
- Engineering: 82% completion
- Marketing: 75% completion
- Sales: 68% completion

Trend: Improving (+12% vs last month)

Team Productivity

User Activity

Engagement Metrics:

• Active users (DAU/MAU)
• Feature usage per user
• Average session duration
• Documents per user
• Conversations per user

Power Users:

Top Contributors (Last 30 Days)

1. Alice Chen
   - 45 documents uploaded
   - 156 AI conversations
   - 23 meetings attended
   - 34 tasks created

2. John Smith
   - 38 documents uploaded
   - 142 AI conversations
   - 28 meetings attended
   - 29 tasks created

Insight: High engagement with AI features

Collaboration Metrics

Team Interaction:

• Documents shared
• Conversations shared
• Comments per document
• @mentions frequency
• Cross-team collaboration

Network Analysis:

Collaboration Network

Strongest Connections:
- Product ↔ Engineering (high)
- Marketing ↔ Sales (high)
- Leadership ↔ All teams (moderate)

Siloed:
- Legal team (limited cross-team interaction)
- Finance team (mostly internal)

Opportunity: Increase cross-functional collaboration

AI Usage Analytics

AI Consumption

Usage Metrics:

• Total AI conversations
• Messages per conversation
• Average tokens used
• Cost per user
• Model distribution (GPT-4 vs GPT-4o-mini)

Feature Adoption:

AI Feature Usage (Last Month)

Chat with Documents: 1,245 sessions (42%)
Meeting Analysis: 856 sessions (29%)
Document Summaries: 634 sessions (21%)
Action Item Extraction: 243 sessions (8%)

Growth:
- Meeting Analysis +35% MoM
- Document Chat +22% MoM
- Summaries stable

Cost Analytics

AI Spending:

AI Cost Breakdown (October 2024)

Total Spend: $1,247
Per User: $24.94 (50 users)

By Feature:
- Document Chat: $523 (42%)
- Meeting Transcription: $312 (25%)
- Summaries: $267 (21%)
- Other: $145 (12%)

Trend: -8% vs September (optimization working)
Budget: $1,500/month (17% under budget)

ROI Analysis

Value Metrics:

Time Saved Estimation

Meeting Notes: 15 hours/week saved
Document Review: 22 hours/week saved
Search Time: 8 hours/week saved
Total: 45 hours/week

Cost per Hour Saved: $6.91
Team Productivity Gain: 12.5%
ROI: 847% (compared to manual processes)

Custom Reports

Report Builder

Create Custom Reports:

1. Select metrics
2. Choose time range
3. Add filters
4. Group/segment data
5. Schedule delivery

Common Reports:

• Executive summary (weekly)
• Team productivity (monthly)
• Cost analysis (monthly)
• Feature adoption (quarterly)
• ROI dashboard (quarterly)

Export Options

Formats:

• PDF (formatted)
• Excel/CSV (data)
• PowerPoint (presentation)
• JSON (API)

Scheduling:

• Daily digests
• Weekly summaries
• Monthly reports
• Quarterly reviews
• Custom schedules

Insights & Recommendations

AI-Powered Insights

Automatic Detection:

📊 Insights for Your Team

1. Meeting Overload Detected
   Problem: 3+ hours/day in meetings
   Impact: Reducing deep work time
   Recommendation: Implement "No Meeting Wednesdays"

2. Low Feature Adoption
   Problem: Only 30% using document chat
   Opportunity: 70% not utilizing key feature
   Recommendation: Team training session

3. Search Inefficiency
   Problem: Users re-searching same queries
   Opportunity: Create shared searches/bookmarks
   Recommendation: Curated resource library

Benchmarking

Compare to Similar Organizations:

Industry Benchmarks (Tech Companies, 50-100 employees)

Your Team vs Industry Average:

Meeting Time: 12.3 hrs/wk (Industry: 14.2 hrs/wk) ✅
Document Chat Use: 4.2/user/wk (Industry: 3.1/user/wk) ✅
AI Adoption: 68% (Industry: 52%) ✅
Action Item Completion: 77% (Industry: 64%) ✅

Strong Areas: AI adoption, efficiency
Opportunity: Further reduce meeting time

Integration Dashboards

Connected Tools

Unified View:

• Jira task completion
• Slack engagement
• Calendar utilization
• Drive storage
• Email volume (if connected)

Cross-Platform Insights:

Productivity Ecosystem

High Activity Platforms:
1. Solatis (primary)
2. Slack (high engagement)
3. Jira (task management)
4. Google Calendar (scheduling)

Integration Health: 96%
Data Sync: Real-time
Last Sync: 2 minutes ago

Best Practices

Dashboard Usage

Regular Reviews:

• Daily: Quick metrics check
• Weekly: Team performance review
• Monthly: Trend analysis
• Quarterly: Strategic planning

Action on Insights:

• Don't just collect data
• Act on recommendations
• Test improvements
• Measure impact
• Iterate

Privacy & Security

Data Access:

• Role-based visibility
• Anonymized user data
• Aggregate metrics only
• Compliance with regulations
• Export controls

Troubleshooting

Missing Data:

• Check integration connections
• Verify permissions
• Wait for processing
• Refresh dashboards
• Contact support

Inaccurate Metrics:

• Verify data sources
• Check time zones
• Review filters
• Compare with source systems
• Report discrepancies

Next Steps

• AI Agents - Advanced automation
• API Documentation - Custom integrations
• Security & Compliance - Data governance

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Last Updated: October 11, 2025