Dataset in Zluri

A Dataset in Zluri is a structured collection of data pulled from various modules across your organization’s Zluri account. Datasets serve as the foundation for both standard and custom widgets used in dashboards.

Think of a dataset as a logical grouping of information, typically generated via system queries or filters. It defines what data is available, while widgets determine how that data is visualized.

Relationship Between Datasets and Widgets

• A widget is a visual layer (chart, table, or KPI) built on top of a dataset.
• Multiple widgets can reuse the same dataset, each configured differently.
• This promotes consistency and reduces redundancy across dashboards.

Using a Dataset to Create a Widget

              ┌──────────────────────────────┐
              │         Dataset A            │
              │ (Application - Flat/Expanded)│
              └────────────┬─────────────────┘
                           │
     ┌─────────────────────┼──────────────────────┐
     │                     │                      │
┌───────────────┐  ┌────────────────────┐  ┌────────────────────┐
│ Widget 1:     │  │ Widget 2:          │  │ Widget 3:          │
│ Recently Used │  │ Shadow AI Apps     │  │ Recently Used AI   │
│ AI Apps       │  │                    │  │ App                │
└───────────────┘  └────────────────────┘  └────────────────────┘

              ┌────────────────────────────┐
              │         Dataset B          │
              │ (Access Request History)   │
              └────────────┬───────────────┘
                           │
           ┌───────────────┴──────────────┐
           │                              │
┌─────────────────────────────┐  ┌─────────────────────────────┐
│ Widget 4:                   │  │ Widget 5:                   │
│ Big Number of              │  │ Pie Chart of Access Requests│
│ Total Access Requests      │  │ by Department               │
└─────────────────────────────┘  └─────────────────────────────┘

 

Example Use Case

You have a dataset (e.g., Application) that tracks monthly users across all AI apps. From this dataset, you can build:

• A line chart for weekly usage trends
• A KPI widget showing total active users
• A table listing users by department or application

Dataset Structures: Flat vs. Expanded

When building widgets, you can choose between two dataset types:

1. Flat Dataset

Flat datasets contain one-to-one mapped fields. Each row represents a unique entity with no nesting.

Characteristics:

• One row per record
• No repeating or nested fields
• Simple structure for visualization and aggregation

Best For:

• KPI widgets (e.g., total users, avg. apps/user)
• Bar charts grouped by role or department
• Simple tables with summary data

2. Expanded Dataset

Expanded datasets include normalized or relational fields. One entity (like a user) may span multiple rows due to related data.

Characteristics:

• One-to-many relationships across rows
• Supports granular filtering and grouping
• Requires DISTINCT or GROUP BY to avoid duplication

Example Table:

Best For:

• Access reviews (users with multiple apps or roles)
• Multi-dimensional filters (user + app + access)
• Heatmaps or breakdown charts

Dataset Selection Guide

Prebuilt Datasets in Zluri

Zluri offers a rich catalog of preconfigured datasets across both IGA and SMP modules.

IGA Datasets

SMP Datasets

How to Use a Dataset to Create a Widget

To build a widget using any dataset:

1. Go to Analytics > Widgets
2. Click Create New Widget
3. Select a dataset from the dropdown
   Note: Multi-dataset selection is not supported.
4. Configure filters, chart type, and other fields
5. Save the widget and add it to a dashboard

Best Practices

• Use Flat datasets for fast rollups and KPI-level summaries
• Use Expanded datasets for deep-dive visualizations and filtering
• Always apply DISTINCT or GROUP BY in expanded datasets to avoid overcounts