{"id":144,"date":"2024-03-29T14:18:13","date_gmt":"2024-03-29T13:18:13","guid":{"rendered":"https:\/\/trend-setting.fr\/2a4int2\/?p=144"},"modified":"2024-04-02T16:18:51","modified_gmt":"2024-04-02T14:18:51","slug":"analysis-in-fashion-revolutionizing-the-textile-industry-through-data-insights","status":"publish","type":"post","link":"https:\/\/trend-setting.fr\/2a4int2\/analysis-in-fashion-revolutionizing-the-textile-industry-through-data-insights\/","title":{"rendered":"Analytics in Apparel: Revolutionizing the Textile Industry through Data Insights"},"content":{"rendered":"\n[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/trend-setting.fr\/2a4int2\/wp-content\/uploads\/sites\/22\/2024\/01\/Untitled-design.jpg&#8221; title_text=&#8221;Untitled design&#8221; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; alt=&#8221;Data analysis in the fashion industry&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">Data is used in various industries to help individuals make informed decisions. The Textile Industry is no exception. Every piece showcased in a fashion show has been transformed and manipulated in some way using data. Increasing customer personalization, enhancing business practices, and improving the supply chain are just a few examples of how data analytics is able to benefit the industry.<\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>Streamlining the Supply Chain<\/b><\/h2>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">From sourcing raw materials to finished product distribution, data plays a part in every step. Predictive analytics gives businesses the ability to forecast the demand for their products, allowing them to minimize waste, improve efficiency, and optimize their inventory levels.<\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">Zara &#8211; a huge figure in fast fashion uses data analytics extensively. They respond to customer preferences outlined by the data and make any modifications to their inventory in order to minimize overstock. With this strategy, Zara has managed to reduce their lead times and become a more efficient and profitable business.<\/span><\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/trend-setting.fr\/2a4int2\/wp-content\/uploads\/sites\/22\/2024\/01\/Untitled-design-1.jpg&#8221; title_text=&#8221;Untitled design (1)&#8221; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; alt=&#8221;Data analysis in the fashion industry&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>Personalizing the Customer Experience<\/b><\/h2>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">To further expand on the above case, Zara was able to provide a personalized experience by tailoring their fast fashion options according to the trends, that are ever-changing. This way, they can retain a much higher customer base and thus become more profitable.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Another way to ensure customers have a personalized experience is by analyzing their preferences and behavior, in terms of styles, colors, and products. With this information, businesses like Zara can leverage these preferences and showcase more items that fit the customer\u2019s profile, increasing sales and customer loyalty.<\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;2_5,3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/trend-setting.fr\/2a4int2\/wp-content\/uploads\/sites\/22\/2024\/01\/13519_jHPgy7XdWItHJ81K_16.jpg&#8221; title_text=&#8221;13519_jHPgy7XdWItHJ81K_16&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; alt=&#8221;Data analysis in the fashion industry&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>H&amp;M\u2019s Conscious Collection<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">Minimizing waste and ensuring maximum resource efficiency was achieved in H&amp;M\u2019s Conscious Collection line via data analytics. H&amp;M was able to utilize the data to assess the environmental impact of its operations and supply chain and take action on this data by ensuring the decisions made are data-driven. This allows for continuous monitoring and improvement.<\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>Competitive Advantage through Data-Driven Decision Making<\/b><\/h2>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;2_5,3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/trend-setting.fr\/2a4int2\/wp-content\/uploads\/sites\/22\/2024\/01\/Untitled-design-2.jpg&#8221; title_text=&#8221;Untitled design (2)&#8221; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">Fashion is an ever-changing industry. It is influenced by a myriad of external events including the MET Galas, and runways. Depending on what they witness, people will change how they wish to style their clothes. This forces fashion businesses to keep changing their styles to keep up with the industry. Data analysis in the fashion industry is able to make these transitions easier bu providing useful insights for pricing, marketing, and developmental decisions. Businesses that utilize this type of data will be able to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Improve their responsiveness to customer trends.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Enhance their innovation by identifying new market opportunities.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Increase their adaptability to the changing market dynamics with the help of forecasting<\/span><\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>McKinsey &amp; Company Study<\/b><\/h2>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">The <\/span><a href=\"https:\/\/www.mckinsey.com\/industries\/retail\/our-insights\/geek-meets-chic-four-actions-to-jump-start-advanced-analytics-in-apparel\"><span style=\"font-weight: 400\">McKinsey study<\/span><\/a><span style=\"font-weight: 400\"> was able to identify that businesses using analytics are able to achieve a 15-20% reduction in their inventory costs and a similar increase in their revenue, with a 5-10% increase in gross margin.\u00a0 <\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>Social Media Analytics and Influencer Marketing<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">What people say matters in the Fashion industry. Sentiment analytics, the analysis of text, helps businesses gauge public opinion about their products. This way, they can:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Monitor the social media trends\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Analyze sentiment to their new campaigns<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Identify key influencers that they can collaborate with<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Data analysis in the fashion industry gives access to a massive number of data points, increasing with each day, the data coverage is only increasing.<\/span><\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/trend-setting.fr\/2a4int2\/wp-content\/uploads\/sites\/22\/2024\/01\/Untitled-design-3-scaled.jpg&#8221; title_text=&#8221;Untitled design (3)&#8221; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; alt=&#8221;Data analysis in the fashion industry&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>Retail and E-commerce Optimization<\/b><\/h2>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">With smartphones and tablets, e-commerce enabled customers to window shop in the comfort of their living room. This caused a paradigm shift in retail as it became a lot more feasible to measure customer actions. Harnessing this data will allow businesses to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Predict customer lifetime value<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Optimize their pricing strategies to increase their revenue<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Improve sales, customer engagement, and retail experience\u00a0<\/span><\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display SC||||||||&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;Playfair Display SC||||||||&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<h2><b>The Future of Data Analytics in the Textile and Fashion Industry<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;]<p><span style=\"font-weight: 400\">Data Analytics changes the way fashion and textile industries operate, providing the opportunity to make informed decisions based on customer preferences and trends. With the rise in technological advancements like Virtual Reality, Augmented Reality, and Machine Learning, it is becoming increasingly feasible to personalize customer\u2019s experiences, allowing businesses to keep up with new trends and stay ahead of the curve.<\/span><\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/trend-setting.fr\/2a4int2\/wp-content\/uploads\/sites\/22\/2024\/01\/Untitled-design-5-scaled.jpg&#8221; title_text=&#8221;Untitled design (5)&#8221; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; transform_translate=&#8221;0px|-18px&#8221; width=&#8221;93.8%&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Playfair Display||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;18px&#8221; custom_padding=&#8221;5px|10px|27px|10px|false|false&#8221; border_style_all=&#8221;none&#8221; box_shadow_style=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"<p>Data is used in various industries to help individuals make informed decisions. The Textile Industry is no exception. Every piece showcased in a fashion show has been transformed and manipulated in some way using data. Increasing customer personalization, enhancing business practices, and improving the supply chain are just a few examples of how data analytics [&hellip;]<\/p>\n","protected":false},"author":96,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[10],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data analysis in the fashion industry<\/title>\n<meta name=\"description\" content=\"Data analysis in the fashion industry. 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