{"id":24893,"date":"2020-11-29T17:03:38","date_gmt":"2020-11-29T22:03:38","guid":{"rendered":"https:\/\/www.sightline.com\/?p=24893"},"modified":"2026-02-10T15:01:20","modified_gmt":"2026-02-10T20:01:20","slug":"case-study-global-travel-company-root-cause-analysis","status":"publish","type":"post","link":"https:\/\/www.sightline.com\/case-study-global-travel-company-root-cause-analysis\/use-cases\/","title":{"rendered":"Case Study: Global Travel Company Uses Root Cause Analysis &#038; Predictive Analytics for 20,000 Servers"},"content":{"rendered":"\n<p>Let&#8217;s discuss Root Cause Analysis. One of our customers &#8211; a large international travel services company &#8211; provides mission-critical solutions for airlines and airports, hotels and railways, search engines, travel agencies, tour operators, and other travel players in over 150 markets worldwide. In the last 30 years, the organization has grown significantly and now operates with more than 15,000 employees from over 100 nationalities and processes more than 600 million bookings for more than one billion passengers each year. The company uses our <a href=\"https:\/\/www.sightline.com\/unisys-unified-view-powered-by-sightline-presents-smart-analytics-on-a-single-screen\/blogs\/\">performance analytics<\/a> to collect system-level resource utilization metrics across its growing footprint of servers. They have been able to <a href=\"https:\/\/www.linkedin.com\/company\/sightlinesystems\/posts\/?feedView=all\">monitor their application<\/a> workloads, conduct Root Cause Analysis, and create capacity planning forecasts based on CPU, Memory, Storage and Network resource utilization projections across its IT infrastructure to meet growing customer demand for services.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-fill-out-the-form-to-read-the-case-study-on-root-cause-analysis\">Fill Out the Form to Read the Case Study on Root Cause Analysis!<\/h4>\n\n\n\n<script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/v2.js\"><\/script>\n\n\n\n<script>\n  hbspt.forms.create({\n    region: \"na1\",\n    portalId: \"3894971\",\n    formId: \"06c40b4a-1537-459c-a176-5cba2b765c88\"\n  });\n<\/script>\n\n\n\n<h3 class=\"wp-block-heading\"><span style=\"color: #808080;\">About Sightline and Root Cause Analysis<\/span><\/h3>\n\n\n\n<p><span style=\"color: #808080;\">Sightline Systems is a dedicated team of professionals who have come together to use our collective knowledge to create solutions for organizations who want to reap the benefits offered by Industry 4.0 and the Internet of Things (IoT). We understand the needs of the IT, manufacturing, and aquaculture industries related to predictive analytics, anomaly detection, root cause analysis, and capacity planning and understand how the right tools can take your business to the next level. At Sightline, we specialize in being able to guide you through implementation of the simple, but powerful solutions offered through&nbsp;<a href=\"https:\/\/www.sightline.com\/\" role=\"link\" style=\"color: #808080;\">Sightline EDM<\/a>. Our knowledgeable team can help you achieve your data management and analysis needs or help you explore the possibilities offered to your specific business, such as Root Cause Analysis.<\/span><\/p>\n\n\n\n<p><span style=\"color: #808080;\"><\/span><\/p>\n\n\n\n<p class=\"has-text-align-left\"><span style=\"color: #808080;\">At <a href=\"https:\/\/www.linkedin.com\/company\/sightlinesystems\/posts\/?feedView=all\">Sightline Systems<\/a>, we are passionate about helping you uncover the insights buried in your data on a timeline that means you can act to address issues and take advantage of opportunities. We know that today\u2019s world moves quickly and traditional data management and analysis relies on expensive and tedious manual tasks that take human resources away from your main business goal. With Sightline EDM, our comprehensive, top-of-the-line, AI-powered data monitoring and analytics solution, you can streamline understanding and visualizing critical information contained within the vast amounts of data available in IoT. In addition to real-time anomaly detection and swift root cause analysis, Sightline EDM puts you on the path toward accurate forecasting with predictive analytics and machine learning, which not only give you valuable time to act but simplifies capacity planning.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how a global travel services company leverages Sightline IT performance analytics to collect performance metrics on more than 20,000 Unix, Linux and Windows servers.<\/p>\n","protected":false},"author":30,"featured_media":24912,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[4032,3945],"tags":[3959],"class_list":["post-24893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blogs","category-use-cases","tag-it-case-studies"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.5 (Yoast SEO v27.1.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How a Company Used Root Cause Analysis | Sightline Systems<\/title>\n<meta name=\"description\" content=\"- Case Study: Global Travel Company Uses Root Cause Analysis &amp; Predictive Analytics for 20,000 Servers - Sightline Systems: Monitoring and Analytics to Optimize Your Business\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sightline.com\/case-study-global-travel-company-root-cause-analysis\/use-cases\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Case Study: Global Travel Company Uses Root Cause Analysis &amp; Predictive Analytics for 20,000 Servers\" \/>\n<meta property=\"og:description\" content=\"- Case Study: Global Travel Company Uses Root Cause Analysis &amp; Predictive Analytics for 20,000 Servers - Sightline Systems: Monitoring and Analytics to Optimize Your Business\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.sightline.com\/case-study-global-travel-company-root-cause-analysis\/use-cases\/\" \/>\n<meta property=\"og:site_name\" content=\"Sightline Systems: Monitoring and Analytics to Optimize Your Business\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sightlinesystem\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-11-29T22:03:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-10T20:01:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.sightline.com\/wp-content\/uploads\/2020\/11\/sky-airport-scenery-red-sky-nikon-osaka-japan-views-d7200_t20_xvznyl.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2094\" \/>\n\t<meta property=\"og:image:height\" content=\"1396\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Brandon Witte\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@sightlinesystem\" \/>\n<meta name=\"twitter:site\" content=\"@sightlinesystem\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/www.sightline.com\/case-study-global-travel-company-root-cause-analysis\/use-cases\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.sightline.com\/case-study-global-travel-company-root-cause-analysis\/use-cases\/\"},\"author\":{\"name\":\"Brandon Witte\",\"@id\":\"https:\/\/www.sightline.com\/#\/schema\/person\/0c390a1013473189a5daedf986f54649\"},\"headline\":\"Case Study: Global Travel Company Uses Root Cause Analysis &#038; 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