{"id":2,"date":"2025-08-14T15:00:16","date_gmt":"2025-08-14T15:00:16","guid":{"rendered":"http:\/\/www.databykatariina.com\/?page_id=2"},"modified":"2026-04-04T12:48:07","modified_gmt":"2026-04-04T12:48:07","slug":"security-service-performance","status":"publish","type":"page","link":"https:\/\/www.databykatariina.com\/?page_id=2","title":{"rendered":"Security Service Operations performance analysis"},"content":{"rendered":"\n<div class=\"wp-block-uagb-container uagb-block-1ab90bc8 alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\"><h2 style=\"font-size:32px;\" class=\"has-text-align-center has-link-color wp-elements-b291c1e2e035633a7e7c999641c29258 wp-block-post-title has-text-color has-ast-global-color-0-color\">Security Service Operations performance analysis<\/h2><\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-e898e37a alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\">\n<p style=\"padding-top:0;padding-bottom:0;line-height:1.7\">How can field service performance be optimized through data? This project analyzes technician performance and job complexity to uncover key drivers of efficiency and improve resource allocation.<\/p>\n\n\n\n<p class=\"has-ast-global-color-2-color has-text-color has-link-color wp-elements-4dcecea386a516035b6393f3a4335470\">View the full project code on<strong> <a href=\"https:\/\/github.com\/Katariina83\/team-coordination-case\">GitHub \u2192<\/a><\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Overview<\/strong><\/p>\n\n\n\n<p>Project summary:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Built a synthetic operational dataset (Python, SQLite)<\/li>\n\n\n\n<li>Analyzed technician performance &amp; job complexity (SQL)<\/li>\n\n\n\n<li>Delivered KPI dashboard in Power BI<\/li>\n\n\n\n<li>Identified key drivers of operational efficiency<\/li>\n<\/ul>\n\n\n\n<p style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\">This project transforms operational data into actionable insights to improve resource allocation and service efficiency. The goal was to understand how technician skill levels and job complexity influence operational performance, including completion rates, job duration, and delays.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2445\" height=\"2560\" src=\"https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-scaled.png\" alt=\"\" class=\"wp-image-2506\" srcset=\"https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-scaled.png 2445w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-287x300.png 287w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-978x1024.png 978w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-768x804.png 768w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-1467x1536.png 1467w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/team-coordination-case-showcase-1-1956x2048.png 1956w\" sizes=\"auto, (max-width: 2445px) 100vw, 2445px\" \/><\/figure>\n\n\n\n<p><strong><em>This dashboard highlights key performance patterns across technician skill levels and job complexity  impact operational efficiency and performance outcomes.<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Key insights of the dashboard:<\/strong><\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Mid-level technicians deliver the highest completion rates<\/li>\n\n\n\n<li>High-complexity jobs significantly increase duration and reduce outcomes<\/li>\n\n\n\n<li>Performance gaps are most visible in high-complexity tasks<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Business Context<\/strong><\/p>\n\n\n\n<p>Security service companies rely heavily on efficient field operations to maintain customer satisfaction and profitability. Key operational challenges include:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20);line-height:1.7\" class=\"wp-block-list\">\n<li>Managing varying technician skill levels<\/li>\n\n\n\n<li>Handling jobs with different levels of complexity<\/li>\n\n\n\n<li>Minimizing delays and repeat visits<\/li>\n\n\n\n<li>Ensuring high first-time fix rates<\/li>\n<\/ul>\n\n\n\n<p>Operational inefficiencies \u2014 especially in high-complexity jobs \u2014 can lead to increased costs, longer service times, and reduced customer satisfaction. The objective of this project was to simulate these challenges and identify how performance varies across different scenarios, supporting better resource allocation and operational planning.<\/p>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Analytical approach<\/strong><\/p>\n\n\n\n<p>This project demonstrates a full analytical workflow:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20);line-height:1.7\" class=\"wp-block-list\">\n<li>Data generation (Python): Created a realistic synthetic dataset including technicians, customers, and work orders with business logic (complexity, delays, performance drivers)<\/li>\n\n\n\n<li>Data storage (SQLite): Structured data into a relational database for scalable querying<\/li>\n<\/ul>\n\n\n\n<p>SQL analysis:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20);line-height:1.7\" class=\"wp-block-list\">\n<li>Aggregated performance metrics (completion rate, delay rate, job duration)<\/li>\n\n\n\n<li>Compared technician performance across skill levels<\/li>\n\n\n\n<li>Analyzed impact of job complexity using JOIN, GROUP BY, and CASE logic<\/li>\n<\/ul>\n\n\n\n<p>Power BI dashboard:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20);line-height:1.7\" class=\"wp-block-list\">\n<li>Built interactive KPI visuals<\/li>\n\n\n\n<li>Developed DAX measures for percentage-based metrics<\/li>\n\n\n\n<li>Designed a clean, executive-level performance view<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Strategic Angle<\/strong><\/p>\n\n\n\n<p>This project emphasizes how operational data can be translated into business value.<\/p>\n\n\n\n<p>Rather than focusing only on technical metrics, the analysis highlights:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20);line-height:1.7\" class=\"wp-block-list\">\n<li>How job complexity impacts efficiency and outcomes<\/li>\n\n\n\n<li>Where performance gaps exist between technician skill levels<\/li>\n\n\n\n<li>How delays and longer durations affect overall operations<\/li>\n<\/ul>\n\n\n\n<p>The approach reflects real-world business analysis, where the goal is not just to measure performance, but to understand its drivers and support decision-making.<\/p>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\">Business Impact<\/p>\n\n\n\n<p style=\"padding-top:0;padding-bottom:0;line-height:1.7\">The project resulted in a structured performance analysis framework and a dashboard that provides a clear overview of operational efficiency.<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20);line-height:1.7\" class=\"wp-block-list\">\n<li>Built a scalable performance analysis framework<\/li>\n\n\n\n<li>Enabled visibility into key operational drivers<\/li>\n\n\n\n<li>Identified performance gaps across technician levels<\/li>\n\n\n\n<li>Designed KPI-based dashboard for decision-making<\/li>\n<\/ul>\n\n\n\n<p>Technical Implementation:<\/p>\n\n\n\n<p>The analysis was performed using SQL queries to aggregate performance metrics and identify operational patterns across techinician skill levels and job complexity. Example of SQL logic used to calculate performance metrics and completion rates:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"875\" height=\"632\" src=\"https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/Nayttokuva-2026-04-03-175158.png\" alt=\"\" class=\"wp-image-2514\" srcset=\"https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/Nayttokuva-2026-04-03-175158.png 875w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/Nayttokuva-2026-04-03-175158-300x217.png 300w, https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/04\/Nayttokuva-2026-04-03-175158-768x555.png 768w\" sizes=\"auto, (max-width: 875px) 100vw, 875px\" \/><\/figure>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30);line-height:1.7\"><strong>Key insights<\/strong><\/p>\n\n\n\n<p style=\"padding-top:0;padding-bottom:0;line-height:1.7\">Mid-level technicians achieve the highest completion rates across most job types.<\/p>\n\n\n\n<p>High-complexity jobs (~15%) significantly increase duration and reduce completion rates.<\/p>\n\n\n\n<p>Performance differences between skill levels are most visible in high-complexity tasks.<\/p>\n\n\n\n<p>Operational efficiency is strongly influenced by job allocation and complexity management.<\/p>\n\n\n\n<p style=\"padding-top:0;padding-bottom:0;line-height:1.7\">Overall, the results highlight the importance of aligning technician skill levels with job complexity to improve efficiency and service outcomes.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-36f374e1\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap \">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-9b6a3e79 wp-block-button #scrollTopBtn {  display: none; position: fixed; bottom: 40px; right: z-index: 1000; font-size: 22px; background: #4CAF50; color: white; border: outline: padding: 12px 16px; border-radius: 50%; cursor: pointer; transition: 0.3s; } #scrollTopBtn:hover #333;\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"up\" href=\"#\" rel=\"follow noopener\" target=\"_self\" role=\"button\"><span class=\"uagb-button__icon uagb-button__icon-position-after\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\" aria-hidden=\"true\" focussable=\"false\"><path d=\"M323.5 51.25C302.8 70.5 284 90.75 267.4 111.1C240.1 73.62 206.2 35.5 168 0C69.75 91.12 0 210 0 281.6C0 408.9 100.2 512 224 512s224-103.1 224-230.4C448 228.4 396 118.5 323.5 51.25zM304.1 391.9C282.4 407 255.8 416 226.9 416c-72.13 0-130.9-47.73-130.9-125.2c0-38.63 24.24-72.64 72.74-130.8c7 8 98.88 125.4 98.88 125.4l58.63-66.88c4.125 6.75 7.867 13.52 11.24 19.9C364.9 290.6 353.4 357.4 304.1 391.9z\"><\/path><\/svg><\/span><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How can field service performance be optimized through data? This project analyzes technician performance and job complexity to uncover key drivers of efficiency and improve resource allocation. View the full project code on GitHub \u2192 Overview Project summary: This project transforms operational data into actionable insights to improve resource allocation and service efficiency. The goal [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/www.databykatariina.com\/?author=1"},"uagb_comment_info":0,"uagb_excerpt":"How can field service performance be optimized through data? This project analyzes technician performance and job complexity to uncover key drivers of efficiency and improve resource allocation. View the full project code on GitHub \u2192 Overview Project summary: This project transforms operational data into actionable insights to improve resource allocation and service efficiency. The goal&hellip;","_links":{"self":[{"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2"}],"version-history":[{"count":39,"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":2634,"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=\/wp\/v2\/pages\/2\/revisions\/2634"}],"wp:attachment":[{"href":"https:\/\/www.databykatariina.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}