Case Studies Powerful Analytics Boosts High-Tech Threat Detection

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	Powerful Analytics Boosts High-Tech Threat Detection

Powerful Analytics Boosts High-Tech Threat Detection

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Increased productivity through task automation, allowing employees to focus on other critical areas.
Impact #2	Improved supply chain monitoring, ensuring top quality and consistency of incoming parts from suppliers.
Impact #3	Enhanced detection accuracy and product quality by reducing variability in production processes.

Impact #1

Increased productivity through task automation, allowing employees to focus on other critical areas.

Impact #2

Improved supply chain monitoring, ensuring top quality and consistency of incoming parts from suppliers.

Impact #3

Enhanced detection accuracy and product quality by reducing variability in production processes.

Benefit #1	Reduced per-unit costs by 50 percent.
Benefit #2	Saved approximately 30 percent in product revenue losses.
Benefit #3	Reduced downtime by 30 percent.

Benefit #1

Reduced per-unit costs by 50 percent.

Benefit #2

Saved approximately 30 percent in product revenue losses.

Benefit #3

Reduced downtime by 30 percent.

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Overview

Powerful Analytics Boosts High-Tech Threat Detection

Operational Impact

Quantitative Benefit