The Fracttal Business Intelligence module was developed to provide a comprehensive view of maintenance data, enabling more precise operational and management decisions.
This module allows analyzing and visualizing key maintenance data to optimize resources, improve efficiency, and track KPIs. With intuitive dashboards, detailed reports, and advanced analytics, Fracttal BI facilitates strategic maintenance management.
Economic Analysis
Economic Analysis enables detailed monitoring and control of costs associated with the maintenance process. With resources such as visualization of projected and actual costs, including spare parts, supplies, and third-party services, users can gain a clear view of the financial impact of maintenance activities. The main features include:
Resources to Execute: Cost projection with spare parts and third-party services for maintenance.
Executed Resources: Actual consumption per Work Order (WO), with direct links to the WO, asset, and resource.
Cost Pivot Table: Customizable charts and tables for detailed cost analysis.
Filters and Grouping
Filters by date, resource type, and other criteria to facilitate analysis.
Dates: scheduled, start, and close; From–To range.
Temporal grouping: day/week/month.
Export to Excel from the interface.
For more details, you can consult the following related articles: Economic Analysis, Resources to Execute, Executed Resources, Cost Pivot Table
Technical Analysis
The Task Analysis presents charts to evaluate how scheduled and completed tasks are fulfilled, compare planned tasks with unplanned ones, classify types, and review rescheduling and pauses within work orders. Additionally, the work order analysis offers visualizations that, through detailed analysis, help understand the evolution in the creation and closure of orders, cancellation reasons, and service quality, thus facilitating informed medium- and long-term decision-making.
Scheduled Tasks in WO vs Completed Tasks: Shows, month by month, the tasks scheduled in a work order (planned) and the completed tasks (finished). The difference indicates pending tasks.
Compliance with Planned Tasks: Presents the total planned tasks (planned), sent to WO (scheduled), and completed (finished) in the same month.
Planned vs. Unplanned: Percentage to better understand reactive work.
Types and Priorities of Tasks: Pareto diagram classifying and highlighting the types of tasks with the greatest impact.
Rescheduling and Pauses: Bar chart with common reasons for task non-completion. Reasons are configured in the auxiliary catalogs module. It is recommended to avoid dispersed terms.
Failures, Causes, and Severity: Analysis of the most frequent maintenance failures, configured from the auxiliary catalog.
- This icon offers more detailed context and educational support for reading the chart.
- Expand the chart view.
- Option to export the image and download the file.
For more details, you can consult the following related articles: Failure Analysis, Technical Analysis Module, Filtering Options in Technical Analysis.
Request Analysis
Request Analysis allows monitoring requests created, in progress, or completed, helping to understand the maintenance team's performance in terms of response time and service quality. The main features include:
Dashboard: requests created/in progress/completed, average times (opening/attention/closure), SLA, and trends with filters by status, origin, priority, site/equipment.
Rating: service evaluation per request/WO, distribution by technician/equipment, and detection of outliers.
Reported Assets: ranking of assets with highest recurrence, criticality, and impact (input for plan, spare parts, and preventive adjustments).
For more details, you can consult the following related articles: Request Analysis Module, Dashboard in Request Analysis, Filter Bar in Request Analysis, How to Access the Request Analysis Module?
Fracttal BI
Fracttal BI offers the ability to create custom dashboards, allowing users to build visualizations tailored to the specific needs of each operation. Additionally, it is possible to integrate data from other external sources via API, such as Power BI, for more comprehensive analysis.
Creation of custom dashboards with widgets and filters.
Building views from system data and combining with other sources via API (for example, Power BI).
For more details, you can consult the following related articles: Fracttal BI, How to Use Fracttal BI?, How to Add a Panel or Dashboard in Fracttal BI?, What Are Widgets in Fracttal BI?
Indicators
The Indicators module allows calculating and tracking essential maintenance KPIs, such as MTBF (Mean Time Between Failures), MTTR (Mean Time to Repair), and asset availability. These KPIs are fundamental to evaluate the effectiveness of maintenance operations.
Calculated KPIs with saved date ranges for recurring queries.
Global average of aggregated behavior.
Information by asset: availability by maintenance, availability by failure (reliability), MTBF, MTTR, number of failures, total hours, hours per breakdowns, and downtime hours due to maintenance.
Transparency and Filters
Access to applied formulas (by asset and general) and navigation to asset details.
Filters: location/site, asset type, code, cost center, and custom forms.
Note: for the MTBF and MTTR indicators, only failures causing asset downtime are counted.
For more details, you can consult: How to Use Maintenance Indicators in Fracttal One
Performance Analysis
The Performance Analysis module focuses on managing and distributing Work Orders and tasks among maintenance team members. It helps identify workload imbalances and evaluate the performance of each technician or responsible person.
WOs assigned by responsible (total): shows how many work orders each responsible person has received and their distribution among execution stages, allowing identification of workload and progress of each member.
WOs assigned by responsible (%): percentage of work orders assigned to each responsible person, helping detect overloads or inequalities in work distribution.
Tasks by Human Resource (total and %): evaluation of task distribution per person to identify overload or idle capacity.
Group/filter by Scheduled Date, Creation Date, Start Date, and End Date.
See More opens the underlying table; export option according to configuration.
It is recommended to standardize statuses and responsible persons for comparable metrics.
For more details, you can consult the following related articles: Performance Analysis Module, How to Generate a Performance Report of My Team in Fracttal One?
Dashboard (redirect)
Direct access to the main dashboard of Fracttal One: an executive, updated, and summarized view for daily monitoring.