Media & Industry Thought Leadership
Sightline Resources & Content
Blog Posts
Tracking and Analyzing Machines: What Is the True Cost of Downtime?
Brandon Witte Brandon Witte is the CEO of Sightline Systems, a global leader in…
Sightline vs TwinThread: Which Is the Best Continuous Improvement Software?
Brandon Witte Brandon Witte is the CEO of Sightline Systems, a global leader in…
Sightline Systems Partners with GNSOL to Offer IT Solutions Abroad
Sightline Systems has partnered with GNSOL, a productivity solutions company that offers a host…
Reduce Variability & Waste: Improving Manufacturing Processes with Centerlining Tools
Throughout a typical workday in a manufacturing plant, employees who oversee production processes spend…
The Benefits of Predictive Analytics for Manufacturing: Maximizing Success in Operations
There is no successful manufacturing facility in existence that runs without data. Without accurate,…
What Industries Can Benefit from an AI-Powered Data Monitoring and Analytics Solution?
In today’s digital-centric world, we have instant access to limitless amounts of information and…
Use Cases
Ensuring Secure Access to Your Sightline Data
Learn how Sightline Systems ensures data security through robust encryption and SSL/TLS protocols, protecting data in transit and securing user access to their performance monitoring platform. This commitment to security, combined with real-time analytics, proactively identifies potential vulnerabilities, allowing businesses to operate confidently.
Case Study: Anomaly Detection, Observability Solutions, and Sightline EDM™
Pennsylvania’s Department of Human Services (DHS) faced challenges ensuring a smooth rollout of the Affordable Care Act (ACA) due to system integration complexities. To address these issues, DHS implemented Sightline EDM™, an observability solution. This tool enabled real-time monitoring, performance measurement, and infrastructure comparison, ultimately leading to reduced system outages, improved reliability, and a successful ACA implementation.
Sightline EDM’s Security Event Detection: Fortifying European Banks for Stringent EU Stress Tests and Regulations
Sightline EDM is a software solution designed to help banks monitor their corporate computing infrastructure and ensure security, efficiency, and compliance with regulations. The software offers features such as risk-based monitoring, anomaly detection, and real-time advanced predictive analysis.
Better Analytics, Better Bottom Lines
Better Analytics, Better Bottom LinesElevate Your Fish Farming Profits with AQUA Sightline! Welcome to…
Reduce Variability & Waste: Improving Manufacturing Processes with Centerlining Tools
Throughout a typical workday in a manufacturing plant, employees who oversee production processes spend…
Case Study: Discover how Sightline improved federal defense capacity planning through advanced analytics and data-driven strategies.
A large federal government agency composed of more than 8,000 employees was looking into performance monitoring solutions for Unisys mainframes.
eBooks
Sightline EDM 6.0.5 Release
At Sightline Systems, we prioritize continuous improvement, reliability, and transparency. The release of EDM…
Sightline EDM 6.0 Release
Sightline EDM 6.0 Release Notes Introduction Sightline EDM provides centralized data collection, alerting, archiving…
Powerful Predictive Analytics for Sheet & Film Extrusion
Learn how advances in artificial intelligence and machine learning have made it possible to automate anomaly detection to identify outliers and prevent downtime.
Use Case: Root Cause Analysis for IIoT Operations
Overview The industrial and manufacturing industries are faced with no shortage of unique…
Capacity Planning: 6 Steps to Automating IT Resource Management
This guide details the six steps proactive IT operations teams can take to automate capacity planning, reduce over-provisioning expenses and forecast capacity constraints in advance.
5 Steps for Automating Root Cause Analysis
This guide details the five steps proactive IT operations teams take to leverage anomaly detection and event correlation to reduce mean time to resolution.