{"id":2683,"date":"2025-10-21T08:00:00","date_gmt":"2025-10-21T08:00:00","guid":{"rendered":"https:\/\/www.klarahr.com\/blog\/?p=2683"},"modified":"2025-08-12T13:03:59","modified_gmt":"2025-08-12T13:03:59","slug":"react-faster-decide-smarter-how-smart-alerts-support-skills-development","status":"publish","type":"post","link":"https:\/\/www.klarahr.com\/blog\/react-faster-decide-smarter-how-smart-alerts-support-skills-development\/","title":{"rendered":"React Faster, Decide Smarter: How Smart Alerts Support Skills Development"},"content":{"rendered":"\n[et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Artificial intelligence, machine learning and process automation are accelerating the development of customised and adaptive training frameworks. 96% of large and medium-sized companies already integrate<\/span><b> learning management systems<\/b><span style=\"font-weight: 400;\"> into their skills management policies.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The abundance of data and clear indicators, however, raises a critical challenge. L&amp;D departments struggle to anticipate latent needs, trigger the right measures, and <\/span><b>adjust training actions in real time<\/b><span style=\"font-weight: 400;\">. What do we mean by predictive analysis, and what is its impact on managing skills development?<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbWhat is predictive analysis?\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Often associated with data science and Big Data, predictive analysis is based on the growing volume of your company\u2019s digital data. It uses information processing algorithms <\/span><b>to develop scenarios for change<\/b><span style=\"font-weight: 400;\"> and assess the likelihood of them occurring. You then have <\/span><b>several levers for forward planning<\/b><span style=\"font-weight: 400;\"> to support informed decision-making, including for the continuous training of talent.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbDefinition and basic principles\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Predictive analysis refers to the <\/span><b>in-depth study of data<\/b><span style=\"font-weight: 400;\"> to predict certain events. It is based on:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data mining;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine learning;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistical data analysis.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This predictive approach identifies relationships between several variables through modelling. In the context of human resources, predictive analysis can help extract and classify information related to human capital. You can then identify patterns, inconsistencies and correlations in order <\/span><b>to make informed decisions<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbTechnologies and methods used\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">HR analytics tools provide a solid foundation for developing predictability across the various aspects of skills development.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">They make it possible to map skills, anticipate employee needs, evaluate training, and adjust training actions in real time\u2026 56% of HR managers also highlight the urgency of adopting these technological solutions to better manage human capital.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There are several types of predictive models:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Decision trees<\/b><span style=\"font-weight: 400;\"> to better understand an employee\u2019s performance;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The linear model<\/b><span style=\"font-weight: 400;\">, which links, for example, job performance to experience or training;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The classification model<\/b><span style=\"font-weight: 400;\"> to link an observation to a specific category in the context of recruitment;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Artificial neural networks<\/b><span style=\"font-weight: 400;\"> for deep learning of complex data\u2026<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The analysis of predictive models also relies on data visualisation solutions. In the context of continuous team improvement, you can use a skills tracking tool to better represent the results of the analyses.<\/span><\/p>[\/et_pb_text][et_pb_divider _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_divider][et_pb_heading title=\u00a0\u00bbWhy use predictive analysis in business?\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Human resources departments use predictive modelling to <\/span><b>quickly identify trends<\/b><span style=\"font-weight: 400;\"> emerging from their company data. This may relate to talent satisfaction and engagement, salary expectations, the quality of communication between teams\u2026<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The learning and development department identifies risks and opportunities in advance, enabling it to stay one step ahead in skills development.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">According to DARES, 439,600 resignations from permanent contracts were recorded in mainland France in the fourth quarter of 2024. Employees often show subtle warning signs before they decide to leave, signs that should never be ignored.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With predictive analysis, your managers can anticipate this situation and act as quickly as possible <\/span><b>to retain employees<\/b><span style=\"font-weight: 400;\">. Certain data may, for example, reflect dissatisfaction or difficulties in carrying out tasks. Using the right predictive model then enables the team member concerned to develop their skills or benefit from an internal mobility programme.<\/span><\/p>[\/et_pb_text][et_pb_divider _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_divider][et_pb_heading title=\u00a0\u00bbReact quickly, decide better: smart alerts serving skills development\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">The data processed by predictive models supports decision-making through smart alerts. Integrating them into your skills management policy enables you <\/span><b>to respond in real time<\/b><span style=\"font-weight: 400;\"> to signs of employee disengagement.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbIdentifying weak signals through data\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">In predictive analysis, a weak signal refers to early information that is difficult to detect and <\/span><b>signals an emerging issue <\/b><span style=\"font-weight: 400;\">or trend.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A slight increase in absenteeism in an industrial company can, for example, indicate a deteriorating social climate that could lead to strike action. Such a situation hampers knowledge transfer, especially in the absence of a repository of unrecorded skills.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Smart alerts highlight these signals, enabling managers <\/span><b>to take targeted action<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbTriggering the right measures to support skills development\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Even with the right data in hand, predictive analysis presents two major challenges: identifying the right profiles to use it, and acting quickly before the information becomes obsolete. This is where smart alerts come into their own. Generated through upstream automated processing, they provide clear visualisations that enable intervention at the right time, with the right levers:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Adjusting the balance between working hours and financial compensation;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Tailoring the training plan<\/b><span style=\"font-weight: 400;\">;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Supporting career progression with development opportunities\u2026<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Alerts, when combined with HR indicators, become powerful levers for managing and accelerating your employees\u2019 skills development.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbAdjust training actions in real time to maximise effectiveness\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Skills development takes time, and therefore requires regular monitoring. Every talent in the company should feel supported in this process. Smart alerts leverage each predictive model in your analysis system <\/span><b>to adjust your teams\u2019 development plans<\/b><span style=\"font-weight: 400;\">: coaching, mentoring, additional training\u2026<\/span><\/p>\n<p><span style=\"font-weight: 400;\">They are based on precise and relevant indicators to guide your talents\u2019 learning and ensure effective follow-up after training.<\/span><\/p>[\/et_pb_text][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><strong>Sources :<\/strong><\/p>\n<blockquote>\n<p><a href=\"https:\/\/trainingmag.com\/2023-training-industry-report\/\" target=\"_blank\" rel=\"noopener\">https:\/\/trainingmag.com\/2023-training-industry-report\/<\/a><\/p>\n<p><a href=\"https:\/\/www.gartner.com\/en\/documents\/5188863\" target=\"_blank\" rel=\"noopener\">https:\/\/www.gartner.com\/en\/documents\/5188863<\/a><\/p>\n<p><a href=\"https:\/\/dares.travail-emploi.gouv.fr\/donnees\/les-demissions\" target=\"_blank\" rel=\"noopener\">https:\/\/dares.travail-emploi.gouv.fr\/donnees\/les-demissions<\/a><\/p>\n<\/blockquote>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence, machine learning and process automation are accelerating the development of customised and adaptive training frameworks. 96% of large and medium-sized companies already integrate learning management systems into their skills management policies. The abundance of data and clear indicators, however, raises a critical challenge. L&amp;D departments struggle to anticipate latent needs, trigger the right [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2461,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[37],"tags":[36],"_links":{"self":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts\/2683"}],"collection":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/comments?post=2683"}],"version-history":[{"count":4,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts\/2683\/revisions"}],"predecessor-version":[{"id":2688,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts\/2683\/revisions\/2688"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/media\/2461"}],"wp:attachment":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/media?parent=2683"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/categories?post=2683"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/tags?post=2683"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}