{"id":13050,"date":"2026-03-31T10:00:19","date_gmt":"2026-03-31T08:00:19","guid":{"rendered":"https:\/\/sxe-consulting.com\/?p=13050"},"modified":"2026-07-30T23:05:11","modified_gmt":"2026-07-30T21:05:11","slug":"transformation-digitale-industrie-erreurs","status":"publish","type":"post","link":"https:\/\/sxe-consulting.com\/en\/transformation-digitale-industrie-erreurs\/","title":{"rendered":"Why digital transformation fails in factories"},"content":{"rendered":"<p data-start=\"568\" data-end=\"885\">For several years now, the <strong data-start=\"596\" data-end=\"636\">transformation digitale industrielle<\/strong> has become an unavoidable topic for manufacturing companies. Technologies such as <strong data-start=\"738\" data-end=\"811\">ERP, <a href=\"https:\/\/sxe-consulting.com\/en\/industrial-glossary\/mes-definition\/\">MES<\/a>, IoT industriel, data analytics ou intelligence artificielle<\/strong> promise a spectacular improvement in industrial performance.<br \/>\nOn paper, the promise is appealing: more efficient production, better traceability, optimised flows and data-driven decision-making.<br \/>\nYet in reality, many industrial digital transformation projects fail to achieve the expected results.<br \/>\nSome companies invest hundreds of thousands of euros in software or digital infrastructure without seeing any significant improvement in their operational performance.<br \/>\nWhy?<br \/>\nBecause digital transformation is not simply about installing IT tools.<br \/>\nIt involves a <strong data-start=\"1528\" data-end=\"1627\">profound transformation of industrial processes, organisations and working methods<\/strong>.<br \/>\nAt <strong data-start=\"1635\" data-end=\"1653\">SXE-Consulting<\/strong>, experience shows that technology is almost never the main problem. The difficulties generally stem from the way the digital transformation is designed and implemented.<br \/>\nUnderstanding the causes of failure makes it possible to avoid the most common mistakes and to build a genuinely effective industrial transformation.<\/p>\n<h1 data-section-id=\"me7axu\" data-start=\"2009\" data-end=\"2069\">1. Starting with the technology rather than the problem<\/h1>\n<p data-start=\"2071\" data-end=\"2198\">One of the most common mistakes in digital transformation projects is to start with the choice of a tool.<br \/>\nMany companies take decisions such as:<\/p>\n<ul>\n<li data-start=\"2071\" data-end=\"2198\">installing a MES<\/li>\n<li data-start=\"2071\" data-end=\"2198\">changer d\u2019<a href=\"https:\/\/fr.wikipedia.org\/wiki\/Progiciel_de_gestion_int%C3%A9gr%C3%A9\" target=\"_blank\" rel=\"noopener\">ERP<\/a><\/li>\n<li data-start=\"2071\" data-end=\"2198\">setting up a machine data collection system<\/li>\n<li data-start=\"2071\" data-end=\"2198\">deploying artificial intelligence solutions<\/li>\n<\/ul>\n<p data-start=\"2411\" data-end=\"2535\">These decisions are often driven by the desire to modernise the company or to follow Industry 4.0 trends.<br \/>\nHowever, the essential question is not:<\/p>\n<p data-start=\"2585\" data-end=\"2631\"><strong data-start=\"2585\" data-end=\"2631\">Which technology should we install?<\/strong><\/p>\n<p data-start=\"2633\" data-end=\"2656\">The real question is:<\/p>\n<p data-start=\"2658\" data-end=\"2711\"><strong data-start=\"2658\" data-end=\"2711\">Which operational problem do we need to solve?<\/strong><\/p>\n<p data-start=\"2713\" data-end=\"2726\">For example:<\/p>\n<ul>\n<li data-start=\"2730\" data-end=\"2770\">lack of visibility over production<\/li>\n<li data-start=\"2730\" data-end=\"2770\">erreurs d\u2019inventaire<\/li>\n<li data-start=\"2730\" data-end=\"2770\">poor production planning<\/li>\n<li data-start=\"2730\" data-end=\"2770\">productivity losses<\/li>\n<li data-start=\"2730\" data-end=\"2770\">lack of traceability<\/li>\n<\/ul>\n<p data-start=\"2889\" data-end=\"3000\">If these problems are not clearly identified, the digital tool may fail to deliver real value.<br \/>\nAn effective digital transformation always begins with an <strong data-start=\"3065\" data-end=\"3102\">analysis of industrial processes<\/strong> and an understanding of operational dysfunctions.<\/p>\n<h1 data-section-id=\"10cuiq6\" data-start=\"3168\" data-end=\"3210\">2. Digitising inefficient processes<\/h1>\n<p data-start=\"3212\" data-end=\"3299\">Another common pitfall is digitising processes that are not optimised.<br \/>\nDigitalisation is sometimes perceived as a miracle solution capable of solving all organisational problems.<br \/>\nIn reality, it often merely accelerates existing processes.<br \/>\nIf these processes are inefficient, digitalisation will only amplify the inefficiencies.<br \/>\nLet us take a simple example.<\/p>\n<p data-start=\"3617\" data-end=\"3659\">In some industrial companies:<\/p>\n<ul>\n<li>production planning is carried out in Excel<\/li>\n<li>logistics information is managed in the ERP<\/li>\n<li>purchasing communicates by email<\/li>\n<li>production teams use paper documents<\/li>\n<\/ul>\n<p data-start=\"3874\" data-end=\"3904\">This situation often creates:<\/p>\n<ul>\n<li>des incoh\u00e9rences d&#8217;information<\/li>\n<li>communication delays<\/li>\n<li>planning errors<\/li>\n<\/ul>\n<p data-start=\"4006\" data-end=\"4178\">If a MES or a new IT system is installed without correcting these organisational problems, there is simply a risk of <strong data-start=\"4135\" data-end=\"4177\">digitising the existing disorganisation<\/strong>.<br \/>\nThis is why a successful digital transformation must begin with:<\/p>\n<ol>\n<li data-start=\"4256\" data-end=\"4292\">analysing industrial processes<\/li>\n<li data-start=\"4256\" data-end=\"4292\">identifying the sources of performance losses<\/li>\n<li data-start=\"4256\" data-end=\"4292\">optimising flows<\/li>\n<li data-start=\"4256\" data-end=\"4292\">then digitising the stabilised processes<\/li>\n<\/ol>\n<h1 data-section-id=\"rwffkg\" data-start=\"4424\" data-end=\"4459\">3. Underestimating the human factor<\/h1>\n<p data-start=\"4461\" data-end=\"4551\">Industrial digital transformation is often approached as a technology project.<br \/>\nYet it is above all a <strong data-start=\"4589\" data-end=\"4625\">human and organisational project<\/strong>.<br \/>\nOperators, technicians and production managers are directly affected by the introduction of new tools.<br \/>\nWithout good communication and appropriate support, these changes can be perceived as:<\/p>\n<ul>\n<li data-start=\"4865\" data-end=\"4896\">an additional constraint<\/li>\n<li data-start=\"4865\" data-end=\"4896\">a system of increased control<\/li>\n<li data-start=\"4865\" data-end=\"4896\">a complication of their work<\/li>\n<\/ul>\n<p data-start=\"4965\" data-end=\"5078\">In some cases, teams even bypass the new tools in order to keep working as before.<br \/>\nTo avoid this, it is essential to involve the teams from the very start of the project.<br \/>\nOperators have valuable knowledge of the actual production processes.<\/p>\n<p data-start=\"5252\" data-end=\"5287\">Leur participation permet souvent :<\/p>\n<ul>\n<li data-start=\"5291\" data-end=\"5339\">identify the real operational problems<\/li>\n<li data-start=\"5291\" data-end=\"5339\">d&#8217;am\u00e9liorer la conception des outils<\/li>\n<li data-start=\"5291\" data-end=\"5339\">facilitate the adoption of the new solutions<\/li>\n<\/ul>\n<p data-start=\"5432\" data-end=\"5531\">Digital transformation must therefore be accompanied by <strong data-start=\"5494\" data-end=\"5530\">structured change management<\/strong>.<\/p>\n<h1 data-section-id=\"lzlz66\" data-start=\"5538\" data-end=\"5588\">4. Poor-quality industrial data<\/h1>\n<p data-start=\"5590\" data-end=\"5658\">Digitalisation relies on one fundamental element: <strong data-start=\"5644\" data-end=\"5657\">data<\/strong>.<br \/>\nDigital systems analyse and exploit information from various sources:<\/p>\n<ul>\n<li data-start=\"5761\" data-end=\"5766\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">ERP<\/span><\/span><\/li>\n<li data-start=\"5761\" data-end=\"5766\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">MES<\/span><\/span><\/li>\n<li data-start=\"5761\" data-end=\"5766\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">machines<\/span><\/span><\/li>\n<li data-start=\"5761\" data-end=\"5766\">capteurs industriels<\/li>\n<li data-start=\"5761\" data-end=\"5766\">quality systems<\/li>\n<\/ul>\n<p data-start=\"5836\" data-end=\"5932\">But if the underlying data is incorrect, the results obtained will also be incorrect.<br \/>\nIn many industrial companies, problems such as the following can be observed:<\/p>\n<ul>\n<li data-start=\"6016\" data-end=\"6043\">nomenclatures incorrectes<\/li>\n<li data-start=\"6016\" data-end=\"6043\">temps standards non fiables<\/li>\n<li data-start=\"6016\" data-end=\"6043\">inaccurate inventories<\/li>\n<li data-start=\"6016\" data-end=\"6043\">outdated technical data<\/li>\n<\/ul>\n<p data-start=\"6133\" data-end=\"6240\">Under these conditions, even the most powerful systems cannot produce relevant analyses.<br \/>\nThis is often referred to as the principle:<\/p>\n<p data-start=\"6291\" data-end=\"6320\"><strong data-start=\"6291\" data-end=\"6320\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">\u00ab On r\u00e9colte ce qu&#8217;on s\u00e8me \u00bb<\/span><\/span><\/strong><\/p>\n<p data-start=\"6322\" data-end=\"6409\">In other words: if the incoming data is poor, the results will be too.<br \/>\nData reliability must therefore be a priority before any digital transformation.<\/p>\n<h1 data-section-id=\"1pl1gre\" data-start=\"6507\" data-end=\"6554\">5. A fragmented vision of digitalisation<\/h1>\n<p data-start=\"6556\" data-end=\"6636\">Another common mistake is to digitise each department separately.<br \/>\nIn some companies:<\/p>\n<ul>\n<li data-start=\"6670\" data-end=\"6711\">production digitises its operations<\/li>\n<li data-start=\"6670\" data-end=\"6711\">logistics implements a different tool<\/li>\n<li data-start=\"6670\" data-end=\"6711\">purchasing adopts its own system<\/li>\n<li data-start=\"6670\" data-end=\"6711\">maintenance uses a specific solution<\/li>\n<\/ul>\n<p data-start=\"6854\" data-end=\"6913\">Ces initiatives peuvent sembler positives individuellement.<br \/>\nBut they can create a fragmentation of information.<\/p>\n<p data-start=\"6977\" data-end=\"7002\">The result is often:<\/p>\n<ul>\n<li data-start=\"7006\" data-end=\"7046\">several different databases<\/li>\n<li data-start=\"7006\" data-end=\"7046\">contradictory information<\/li>\n<li data-start=\"7006\" data-end=\"7046\">a loss of overall visibility<\/li>\n<\/ul>\n<p data-start=\"7119\" data-end=\"7214\">An effective digital transformation must adopt a <strong data-start=\"7173\" data-end=\"7213\">global vision of the industrial system<\/strong>.<\/p>\n<p data-start=\"7216\" data-end=\"7276\">The objective is to create a coherent architecture linking:<\/p>\n<ul>\n<li data-start=\"7280\" data-end=\"7285\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">ERP<\/span><\/span><\/li>\n<li data-start=\"7280\" data-end=\"7285\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">MES<\/span><\/span><\/li>\n<li data-start=\"7280\" data-end=\"7285\">machine systems<\/li>\n<li data-start=\"7280\" data-end=\"7285\">logistics systems<\/li>\n<\/ul>\n<p data-start=\"7340\" data-end=\"7442\">This coherence is essential to obtain complete visibility over industrial operations.<\/p>\n<h1 data-section-id=\"1fqcdi\" data-start=\"7449\" data-end=\"7504\">6. Underestimating the complexity of industrial projects<\/h1>\n<p data-start=\"7506\" data-end=\"7569\">Industrial digital transformation is a complex project.<\/p>\n<p data-start=\"7571\" data-end=\"7586\">Elle implique :<\/p>\n<ul>\n<li data-start=\"7590\" data-end=\"7618\">IT systems<\/li>\n<li data-start=\"7590\" data-end=\"7618\">industrial processes<\/li>\n<li data-start=\"7590\" data-end=\"7618\">human organisations<\/li>\n<li data-start=\"7590\" data-end=\"7618\">technical constraints<\/li>\n<\/ul>\n<p data-start=\"7710\" data-end=\"7764\">Many companies underestimate this complexity.<\/p>\n<p data-start=\"7766\" data-end=\"7804\">Projects are sometimes launched without:<\/p>\n<ul>\n<li data-start=\"7808\" data-end=\"7833\">a clear roadmap<\/li>\n<li data-start=\"7808\" data-end=\"7833\">structured governance<\/li>\n<li data-start=\"7808\" data-end=\"7833\">performance indicators<\/li>\n<\/ul>\n<p data-start=\"7891\" data-end=\"7980\">This often leads to projects that drag on or lose sight of their initial objective.<br \/>\nA methodical approach is therefore essential to structure the digital transformation.<\/p>\n<h1 data-section-id=\"18lmp2y\" data-start=\"8079\" data-end=\"8137\">How to succeed in an industrial digital transformation<\/h1>\n<p data-start=\"8139\" data-end=\"8224\">A successful digital transformation generally rests on five essential pillars:<\/p>\n<h3 data-section-id=\"12neq2j\" data-start=\"8226\" data-end=\"8266\">1. Analysis of industrial processes<\/h3>\n<p data-start=\"8268\" data-end=\"8328\">Before any digitalisation, it is essential to understand:<\/p>\n<ul>\n<li data-start=\"8332\" data-end=\"8356\">production flows<\/li>\n<li data-start=\"8332\" data-end=\"8356\">interactions between departments<\/li>\n<li data-start=\"8332\" data-end=\"8356\">the sources of performance losses<\/li>\n<\/ul>\n<h3 data-section-id=\"1nxk4pz\" data-start=\"8438\" data-end=\"8466\">2. Flow optimisation<\/h3>\n<p data-start=\"8468\" data-end=\"8543\">Digitalisation must be based on optimised and stabilised processes.<br \/>\nThis avoids digitising inefficiencies.<\/p>\n<h3 data-section-id=\"sccdhv\" data-start=\"8604\" data-end=\"8636\">3. Data reliability<\/h3>\n<p data-start=\"8638\" data-end=\"8678\">Industrial data must be:<\/p>\n<ul>\n<li data-start=\"8682\" data-end=\"8694\">consistent<\/li>\n<li data-start=\"8682\" data-end=\"8694\">structured<\/li>\n<li data-start=\"8682\" data-end=\"8694\">fiables<\/li>\n<\/ul>\n<h3 data-section-id=\"149mfyb\" data-start=\"8727\" data-end=\"8757\">4. Team involvement<\/h3>\n<p data-start=\"8759\" data-end=\"8842\">The success of a project depends heavily on the buy-in of the operational teams.<\/p>\n<h3 data-section-id=\"2lcm4l\" data-start=\"8849\" data-end=\"8887\">5. Choosing the right technologies<\/h3>\n<p data-start=\"8889\" data-end=\"8970\">Tools must be selected according to real operational needs.<\/p>\n<h1 data-section-id=\"kt0fof\" data-start=\"8977\" data-end=\"9014\">The role of external support<\/h1>\n<p data-start=\"9016\" data-end=\"9126\">Many industrial companies choose to be supported in their digital transformation.<br \/>\nAn external perspective often makes it possible:<\/p>\n<ul>\n<li data-start=\"9166\" data-end=\"9206\">identify structural problems<\/li>\n<li data-start=\"9166\" data-end=\"9206\">bring proven methodologies<\/li>\n<li data-start=\"9166\" data-end=\"9206\">secure transformation projects<\/li>\n<\/ul>\n<p data-start=\"9296\" data-end=\"9472\">In this context, <strong data-start=\"9314\" data-end=\"9471\">SXE-Consulting supports industrial companies in analysing and optimising their processes before implementing digital solutions<\/strong>.<br \/>\nThis approach ensures that technology genuinely serves industrial performance.<\/p>\n<h1 data-section-id=\"fsb6xx\" data-start=\"9577\" data-end=\"9589\"><span dir=\"auto\" style=\"vertical-align: inherit;\"><span dir=\"auto\" style=\"vertical-align: inherit;\">Conclusion<\/span><\/span><\/h1>\n<p data-start=\"9591\" data-end=\"9730\">Industrial digital transformation represents a major opportunity to improve the competitiveness of manufacturing companies.<br \/>\nBut it can only succeed if it is approached as a <strong data-start=\"9792\" data-end=\"9849\">global transformation of the industrial organisation<\/strong>, and not as a mere IT project.<br \/>\nThe companies that succeed in their digital transformation are those that:<\/p>\n<ul>\n<li data-start=\"9978\" data-end=\"10019\">comprennent leurs processus industriels<\/li>\n<li data-start=\"9978\" data-end=\"10019\">optimisent leurs flux<\/li>\n<li data-start=\"9978\" data-end=\"10019\">involve their teams<\/li>\n<li data-start=\"9978\" data-end=\"10019\">structure their data<\/li>\n<li data-start=\"9978\" data-end=\"10019\">deploy technologies coherently<\/li>\n<\/ul>\n<p data-start=\"10156\" data-end=\"10275\">In this context, digital transformation becomes a genuine lever for improving industrial performance.<br \/>\nAnd not simply a technological investment.<\/p>","protected":false},"excerpt":{"rendered":"<p>Depuis plusieurs ann\u00e9es, la transformation digitale industrielle est devenue un sujet incontournable pour les entreprises manufacturi\u00e8res. Les technologies comme les ERP, MES, IoT industriel, data analytics ou intelligence artificielle promettent une am\u00e9lioration spectaculaire de la performance industrielle. Sur le papier, la promesse est s\u00e9duisante : une production plus efficace, une meilleure tra\u00e7abilit\u00e9, une optimisation des [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":13062,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[86,84],"tags":[],"class_list":["post-13050","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-process","category-transformation-digitale"],"jetpack_featured_media_url":"https:\/\/sxe-consulting.com\/wp-content\/uploads\/2026\/03\/177339395253eb-1.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/posts\/13050","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=13050"}],"version-history":[{"count":1,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/posts\/13050\/revisions"}],"predecessor-version":[{"id":14087,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/posts\/13050\/revisions\/14087"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/media\/13062"}],"wp:attachment":[{"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=13050"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=13050"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sxe-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=13050"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}