{"id":46400,"date":"2025-06-11T09:00:33","date_gmt":"2025-06-11T07:00:33","guid":{"rendered":"https:\/\/www.sqorus.com\/?p=46400"},"modified":"2025-06-10T13:27:47","modified_gmt":"2025-06-10T11:27:47","slug":"how-does-artificial-intelligence-improve-quality-hr-data","status":"publish","type":"post","link":"https:\/\/www.sqorus.com\/en\/how-does-artificial-intelligence-improve-quality-hr-data\/","title":{"rendered":"How does artificial intelligence improve the quality of HR data?"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;0px|0px|0px|0px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;0px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.27.0&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>In a context where companies handle a multitude of HR systems (Core HR, payroll, recruitment&#8230;), consolidating this data for a 360\u00b0 view of the employee remains a major challenge. We recently met this challenge for one of our customers by developing a machine learning solution, capable of linking heterogeneous sources &#8211; even when they don&#8217;t share the same granularity. <\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.0&#8243; custom_padding=&#8221;||||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Problem: incompatible granularities<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Let&#8217;s take a concrete example:<\/p>\n<ul>\n<li>The Core HR system stores data with a fine granularity: person_number + assignment_number (representing the position held by the employee).  <\/li>\n<li>The payroll system, on the other hand, only identifies employees via the person_number, without reference to the assignment_number.<\/li>\n<\/ul>\n<p>The same person_number can therefore correspond to several assignments in CoreHR. How do you know which line reflects the actual payroll situation for a given month? And what do you do when you have several payroll lines with no assignment_number to differentiate them?  <\/p>\n<ul><\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.0&#8243; custom_padding=&#8221;||||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Solution: a supervised classification model<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>To address this issue, we have developed a supervised machine learning model, capable of automatically identifying the correct assignment_number line from among the various possibilities.<\/p>\n<p><strong>Methodology :<\/strong><\/p>\n<p><strong>1. Data exploration and cleaning<\/strong> to harmonize key fields: date of hire, job title, division, department&#8230; as many explanatory variables as possible.<\/p>\n<p><strong>2. Naive source join<\/strong>: each payroll line is associated with the assignment status at the end of the month, for the same person_number.<\/p>\n<p><strong>3. Creation of a labelled dataset<\/strong> to serve as a training base:<\/p>\n<ul>\n<li>If the hiring date in payroll corresponds to the assignment start date, the line is identified as correct \u2192 label = 1<\/li>\n<li>Otherwise, the line is considered incorrect \u2192 label = 0 4.<\/li>\n<\/ul>\n<p><strong>4. Separation of data<\/strong> into training and test sets.<\/p>\n<p><strong>5. Multiple model training<\/strong> via 5-layer, 10-iteration cross-validation.<\/p>\n<p><strong>6. Selection of the best performing model<\/strong> based on metrics (accuracy, F1-score) and business validation by HR teams.<\/p>\n<p>[\/et_pb_text][et_pb_image src=&#8221;https:\/\/www.sqorus.com\/wp-content\/uploads\/2025\/05\/DQ-AXA.png&#8221; title_text=&#8221;DQ AXA&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||5%||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Model selected :<\/p>\n<ul>\n<li>SVM (Support Vector Machine) with radial kernel (RBF)<\/li>\n<li>Performance :\n<ul>\n<li>  Accuracy: 99.48<\/li>\n<li>  Balanced Accuracy: 99.10<\/li>\n<li>  F1-score: 0.99<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Solution architecture<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The entire solution is deployed and automated on a Microsoft Azure environment, enabling regular updates as new data becomes available.<\/p>\n<ol>\n<li><strong>Data integration<\/strong> from payroll and HR databases (YES CoreHR)<\/li>\n<li><strong>Transformation<\/strong>: cleaning, enrichment and generation of explanatory variables<\/li>\n<li><strong>Modeling and prediction<\/strong> of the correct assignment_number line using the ML model<\/li>\n<li><strong>Feeding a datamodel<\/strong> into Power BI for reliable, enriched HR dashboards<\/li>\n<\/ol>\n<p>A central repository is also updated, validated by HR teams, to correct any anomalies detected.<\/p>\n<ul><\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Observed benefits  <\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li>Easy cross-system analysis<\/li>\n<li>Accurate, consolidated HR vision for decision-making teams  <\/li>\n<li>Automation of a previously manual and error-prone process  <\/li>\n<li>Significant time savings for HR teams<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Find out more: Case studies<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The case described here can be generalized to other HR issues:<\/p>\n<ul>\n<li><strong>Enriched Payroll\/HR analysis<\/strong>: understanding pay discrepancies based on actual assignments<\/li>\n<li><strong>Performance &amp; remuneration<\/strong>: identifying the links between individual performance and pay<\/li>\n<li><strong>Well-being at work<\/strong>: combining absenteeism, performance and HR data to detect weak signals<\/li>\n<li><strong>Recruitment strategy<\/strong>: analyzing the candidate&#8217;s career path through to stabilization in the company<\/li>\n<\/ul>\n<p>This method can be adapted to any combination of HR systems with a common identifier, such as the person_number.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Conclusion<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;||5%||false|false&#8221; inline_fonts=&#8221;Roboto&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>This project is a perfect example of how AI can meet concrete challenges in HR data quality and integration. Thanks to this machine learning model, we are now able to cross-reference previously unreconcilable sources &#8211; providing our customers with a solid foundation for <strong>reliable, scalable and actionable HR data<\/strong>. <\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#20299f&#8221; background_image=&#8221;https:\/\/www.sqorus.com\/wp-content\/uploads\/2024\/06\/Bandeau-LB-Strategie-Data-RH.png&#8221; background_size=&#8221;contain&#8221; background_position=&#8221;center_right&#8221; width=&#8221;100%&#8221; width_tablet=&#8221;90%&#8221; width_phone=&#8221;90%&#8221; width_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;||3%||false|true&#8221; custom_padding=&#8221;50px|400px|50px|55px|true|false&#8221; custom_padding_tablet=&#8221;50px|55px|50px|55px|true|true&#8221; custom_padding_phone=&#8221;40px|55px|40px|55px|true|true&#8221; background_last_edited=&#8221;on|phone&#8221; background_enable_image_tablet=&#8221;off&#8221; border_radii=&#8221;on|23px|23px|23px|23px&#8221; global_module=&#8221;43299&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;Titre_40 Titre_blanc&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; header_2_font_size=&#8221;30px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>HR Data strategy: what if we accelerated?<\/h2>\n<p>[\/et_pb_text][et_pb_text module_class=&#8221;FondBleu&#8221; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_text_color=&#8221;#d6d8f4&#8243; text_line_height=&#8221;30px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Imagine a world where the HR function is propelled into a new dimension thanks to the power of data. What if this world were within our reach? Discover how to harness the full potential of HR Data to revolutionize your organization.<\/p>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/www.sqorus.com\/en\/ebook-hr-data-strategy-what-if-we-accelerated\/&#8221; button_text=&#8221;Download&#8221; button_alignment=&#8221;left&#8221; button_alignment_tablet=&#8221;center&#8221; button_alignment_phone=&#8221;center&#8221; button_alignment_last_edited=&#8221;on|tablet&#8221; admin_label=&#8221;Bouton de t\u00e9l\u00e9chargement&#8221; module_class=&#8221;Bouton Fond_blanc&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;15px&#8221; button_text_color=&#8221;#f36145&#8243; button_bg_color=&#8221;#FFFFFF&#8221; button_border_width=&#8221;1px&#8221; button_border_color=&#8221;#f36145&#8243; button_border_radius=&#8221;50px&#8221; button_font=&#8221;||||||||&#8221; button_use_icon=&#8221;off&#8221; custom_margin=&#8221;20px||||false|false&#8221; custom_padding=&#8221;13px|25px|13px|25px|false|false&#8221; custom_css_free_form=&#8221;selector:hover{||  background-color: #FFF6F5 !important;||}&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Section &#8211; Blog &#8211; Cta Actu&#8221; module_class=&#8221;Fond_bleu Fond_icone&#8221; _builder_version=&#8221;4.27.0&#8243; custom_margin=&#8221;5rem||5rem||true|true&#8221; custom_margin_tablet=&#8221;4rem|40px|4rem|40px|true|true&#8221; custom_margin_phone=&#8221;|20px||20px|false|true&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;3rem||3rem||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row make_equal=&#8221;on&#8221; admin_label=&#8221;Text block&#8221; module_class=&#8221;LargeurBox&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; animation_style=&#8221;fade&#8221; locked=&#8221;off&#8221; collapsed=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.25.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;|9rem||9rem|false|true&#8221; custom_padding_tablet=&#8221;|0rem||0rem|false|true&#8221; custom_padding_phone=&#8221;|0rem||0rem|false|true&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text admin_label=&#8221;Sous-titre&#8221; module_class=&#8221;SousTitre&#8221; _builder_version=&#8221;4.25.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_orientation=&#8221;center&#8221; custom_margin=&#8221;||10px||false|false&#8221; text_orientation_tablet=&#8221;&#8221; text_orientation_phone=&#8221;center&#8221; text_orientation_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Contact<\/p>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Titre &#8211; H2&#8243; module_class=&#8221;Titre_40&#8243; _builder_version=&#8221;4.26.1&#8243; _module_preset=&#8221;default&#8221; text_orientation=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>A project? A request?A question?<\/h2>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Texte&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#d2d4ec&#8221; text_orientation=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Contact us today and find out how we can work together to make your company&#8217;s digital future a reality.<\/p>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/www.sqorus.com\/en\/contact\/&#8221; button_text=&#8221;Contact SQORUS&#8221; button_alignment=&#8221;center&#8221; module_class=&#8221;Bouton fond_orange&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;30px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover how AI can automatically link heterogeneous HR sources despite different granularities.<\/p>\n","protected":false},"author":53,"featured_media":46401,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","content-type":"","_ayudawp_aiss_exclude":false,"footnotes":""},"categories":[484,393,559],"tags":[],"metiers":[226,225],"sujet":[218],"class_list":["post-46400","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science-en","category-hr-data-en","category-intelligence-artificielle","metiers-hr","metiers-it-en","sujet-data-ia-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How AI improves HR data quality?- SQORUS<\/title>\n<meta name=\"description\" content=\"Discover how AI can automatically link heterogeneous HR sources despite different granularities.\" 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