Case Studies > Powerful Analytics Boosts High-Tech Threat Detection

Powerful Analytics Boosts High-Tech Threat Detection

Company Size

1,000+

Region

America

Country

United States

Product

Statistica

Tech Stack

Advanced Analytics
Predictive Analytics
Design of Experiments (DOE)

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Cost Savings
Customer Satisfaction
Productivity Improvements
Revenue Growth

Technology Category

Analytics & Modeling - Big Data Analytics
Analytics & Modeling - Predictive Analytics
Functional Applications - Manufacturing Execution Systems (MES)

Applicable Industries

Security & Public Safety

Applicable Functions

Product Research & Development
Quality Assurance

Use Cases

Machine Condition Monitoring
Predictive Maintenance
Process Control & Optimization
Supply Chain Visibility

Services

Data Science Services
System Integration
Training

About The Customer

FLIR Systems Inc. is a technology company based in the United States, employing around 2,800 people. The company specializes in the development and manufacturing of high-tech threat detection systems, including handheld devices designed to detect trace levels of explosives. The Explosive Threat Detection business unit at FLIR focuses on ensuring the highest levels of product quality and detection accuracy, which is critical for their operations. The company works with various suppliers to source parts for their highly calibrated technologies, making supply chain monitoring a crucial aspect of their business.

The Challenge

FLIR Systems needed a way to analyze massive amounts of data within its Explosive Threat Detection business to improve product quality, reduce downtime, and accelerate R&D. The company faced challenges in monitoring incoming parts from suppliers, as any slight variation could have huge consequences. Additionally, the manual analysis of streaming data from multiple systems was time-consuming and inefficient, often taking hours to interpret and translate into usable information.

The Solution

FLIR Systems implemented Statistica’s advanced analytics platform to automate the analysis of their manufacturing and testing data. This solution allowed FLIR to detect problems early in the process, reducing downtime by 30 percent and cutting per-unit costs by 50 percent. The platform aggregates and analyzes high volumes of streaming data from internal processes and the supply chain, providing automated alerts and reports to stakeholders. By setting up automated workflows, FLIR can now complete complex processes in minutes, significantly improving productivity and allowing more focus on other critical areas.

Operational Impact

Increased productivity through task automation, allowing employees to focus on other critical areas.
Improved supply chain monitoring, ensuring top quality and consistency of incoming parts from suppliers.
Enhanced detection accuracy and product quality by reducing variability in production processes.
Streamlined R&D processes, enabling faster completion of experiments and better predictive analytics.
Reduced overall cost of doing business by preventing downtime and optimizing production processes.

Quantitative Benefit