{"id":1044216,"date":"2021-03-28T00:00:00","date_gmt":"2021-03-28T00:00:00","guid":{"rendered":"https:\/\/www.beyondsoft.com\/sg\/customer-stories\/telecom-operator-increases-efficiency-with-predictive-analytics\/"},"modified":"2021-03-28T00:00:00","modified_gmt":"2021-03-28T00:00:00","slug":"telecom-operator-increases-efficiency-with-predictive-analytics","status":"publish","type":"customer-story","link":"https:\/\/www.beyondsoft.com\/jp\/customer-stories\/telecom-operator-increases-efficiency-with-predictive-analytics\/","title":{"rendered":"Telecom operator increases efficiency with predictive analytics"},"content":{"rendered":"\n<p><strong>THE CHALLENGE<\/strong><\/p>\n\n\n<p>The client\u2019s environment was comprised of 100+ subsystems that had over 10,000 components. The systems averaged one to four million alerts a day with an accuracy of 45%. The client wanted to reach an accuracy rating of 75% through the use of predictive analytics.<\/p>\n\n\n<p><\/p>\n\n\n<p><strong>THE SOLUTION<\/strong><\/p>\n\n\n<p>The solution included organizing existing workflows and knowledge base, labeling data for common issues and resolutions, then building machine learning (ML) model-based data to identify anomalies and find associations.<\/p>\n\n\n<p>By combining repeating alerts and categorizing similar ones, the volume of alerts was reduced 95.2%. Efficiency was further improved by automating the alert-handling process where automated detection and diagnosis were implemented to minimize human engagement. Alerts were also batch-processed to increase the throughput.<\/p>\n\n\n<p>At the system and data level, Beyondsoft performed the association analysis to identify 40 hidden relationships amongst alerts. With the help of the expert system, this effort allowed a comprehensive data collection and integration that successfully facilitated root cause analysis.<\/p>\n\n\n<p>With the benefits generated by accurate prediction, anomaly detection, association analysis, and resolution recommendation, the client achieved several important efficiency improvements:<\/p>\n\n\n<ul class=\"wp-block-list\"><li>30% reduction in labor cost<\/li><li>50% reduction in false alerts<\/li><li>80% reduction in time to mitigate<\/li><li>Reduced mishandled incidents from 2% to 0.5%<\/li><\/ul>\n\t\t\n\t\t\t<a href=\"http:\/\/www.beyondsoft.com\/wp-content\/uploads\/2021\/05\/Telecom-operator-increases-efficiency-with-predictive-analytics.pdf\" role=\"button\">\n\t\t\t\t\t\tDownload Case Study\n\t\t\t\t\t<\/a>","protected":false},"excerpt":{"rendered":"<p>Our client is a major Chinese telecom operator who needed to improve the efficiency of their highly complex data operations.<\/p>\n","protected":false},"featured_media":1044149,"template":"","meta":{"_links_to":"","_links_to_target":""},"service-category":[9],"industry-category":[43,44],"external-author":[],"class_list":["post-1044216","customer-story","type-customer-story","status-publish","has-post-thumbnail","hentry","service-category-data-and-ai-modernization","industry-category-high-tech","industry-category-others"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - 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