Analyze past activities with Historical Graphs
Visual Guard provides built-in historical graphing capabilities that allow organizations to analyze past activities and visualize business trends over time.
By transforming audit data and operational logs into structured graphical representations, the system enables administrators and managers to:
- Analyze business activity trends
- Monitor transaction volumes
- Detect unusual patterns
- Identify potential security or operational issues
Historical graphs turn raw audit data into actionable insights.
What Are Historical Graphs?
Historical Graphs are visual representations of past application activities based on logged events.
Visual guard provides the below data;
1.📘 Chart Legends
The Chart Legends explain the data displayed in the graph.
They help identify:
- Event categories
- Transaction types
- Users or applications
- Severity levels
Legends make it easier to interpret the chart and understand what each data series represents.
2. 📊 Chart Type (Daily or Monthly)
Visual Guard allows administrators to choose the chart type based on aggregation level:
- Daily View – Displays activity per day for detailed short-term analysis.
- Monthly View – Displays aggregated activity per month for long-term trend analysis.
The Daily option is useful for investigating specific incidents, while the Monthly view helps analyze broader business trends and activity patterns over time.
3. 📅 Start Date
The Start Date defines the beginning of the analysis period.
Administrators can select a specific date to focus on a relevant timeframe or investigate a particular period.
4. 📅 End Date
The End Date defines the end of the analysis window.
Together with the Start Date, it allows precise control over the historical period being analyzed.
These graphical views simplify analysis and improve decision-making.
Key Benefits
📈 Clear Visualization of Business Trends
Historical graphs provide an intuitive and visual way to understand how the application is being used over time.
This improves strategic planning and operational oversight.
🔍 Faster Detection of Anomalies
Visual patterns make it easier to detect abnormal activity compared to reviewing raw logs.
Administrators can quickly identify deviations from normal behavior and investigate further.
🛡 Proactive Risk Management
By continuously analyzing trends, organizations can detect potential issues before they escalate into major incidents.
Early identification reduces risk exposure and operational disruption.
📊 Data-Driven Decision Making
Managers can use historical insights to:
- Optimize workflows
- Evaluate user productivity
- Assess system performance
- Improve resource planning
Graph-based analysis supports informed decision-making.
⚖ Enhanced Governance and Compliance
Historical activity visualization complements audit and traceability features.
It demonstrates structured monitoring practices and supports internal and external audit requirements.