{"id":141,"date":"2025-04-24T14:19:52","date_gmt":"2025-04-24T14:19:52","guid":{"rendered":"https:\/\/binus.ac.id\/humanitarian-ai\/?p=141"},"modified":"2026-02-04T15:11:24","modified_gmt":"2026-02-04T15:11:24","slug":"transforming-with-data-leveraging-data-science-to-achieve-competitive-advantage","status":"publish","type":"post","link":"https:\/\/binus.ac.id\/humanitarian-ai\/blog\/2025\/04\/24\/transforming-with-data-leveraging-data-science-to-achieve-competitive-advantage\/","title":{"rendered":"Transforming with Data: Leveraging Data Science to Achieve Competitive Advantage"},"content":{"rendered":"<p>&nbsp;<\/p>\n<h1 style=\"text-align: center\" data-start=\"326\" data-end=\"342\"><span style=\"font-size: 18pt\">Training Syllabus<\/span><\/h1>\n<p class=\"\" data-start=\"194\" data-end=\"699\">In today\u2019s digital era, <strong data-start=\"218\" data-end=\"272\">data has become the world\u2019s most valuable resource<\/strong>\u2014the new oil that drives innovation and decision-making across industries. With the explosion of <em data-start=\"369\" data-end=\"379\">big data<\/em>\u2014characterized by its <strong data-start=\"401\" data-end=\"441\">volume, velocity, variety, veracity,<\/strong> and <strong data-start=\"446\" data-end=\"455\">value<\/strong>\u2014organizations are presented with immense opportunities. Data is no longer just about recording transactions; it is now a strategic asset that can be transformed into <strong data-start=\"622\" data-end=\"645\">actionable insights<\/strong> to make smarter, faster, and more accurate decisions.<\/p>\n<p class=\"\" data-start=\"701\" data-end=\"1068\">Yet, despite this vast potential, many companies still struggle to harness the true power of their data. One of the biggest challenges lies in the <strong data-start=\"848\" data-end=\"862\">skills gap<\/strong>\u2014a shortage of professionals who can collect, analyze, and interpret data effectively. As digital transformation accelerates, this gap becomes a critical barrier for businesses aiming to remain competitive.<\/p>\n<p class=\"\" data-start=\"1070\" data-end=\"1408\">To thrive in this landscape, organizations must undergo a <strong data-start=\"1128\" data-end=\"1158\">data-driven transformation<\/strong>\u2014one that integrates data science into the core of business strategy. By doing so, companies can optimize operations, understand their customers more deeply, develop innovative products and services, and make data-backed decisions that drive success. <a href=\"https:\/\/binus.ac.id\/humanitarian-ai\/wp-content\/uploads\/2025\/04\/Transformasi-dengan-Data.pdf\">Download Syllabus<\/a>.<\/p>\n<hr class=\"\" data-start=\"1410\" data-end=\"1413\" \/>\n<h3 class=\"\" data-start=\"1415\" data-end=\"1475\">\ud83d\udca1 <strong data-start=\"1422\" data-end=\"1475\">Data Science: The Key to Unlocking Business Value<\/strong><\/h3>\n<p class=\"\" data-start=\"1477\" data-end=\"1758\"><strong data-start=\"1477\" data-end=\"1493\">Data Science<\/strong> combines elements of <strong data-start=\"1515\" data-end=\"1565\">statistics, mathematics, computer programming,<\/strong> and <strong data-start=\"1570\" data-end=\"1589\">business acumen<\/strong> to convert raw data into meaningful insights. With the right tools and techniques, companies can uncover hidden patterns, predict trends, and support strategic actions.<\/p>\n<p class=\"\" data-start=\"1760\" data-end=\"1868\">To support this transformation, we offer a <strong data-start=\"1803\" data-end=\"1841\">3 day immersive training program<\/strong> designed specifically for:<\/p>\n<ul data-start=\"1870\" data-end=\"1940\">\n<li class=\"\" data-start=\"1870\" data-end=\"1889\">\n<p class=\"\" data-start=\"1872\" data-end=\"1889\">Technical staff<\/p>\n<\/li>\n<li class=\"\" data-start=\"1890\" data-end=\"1907\">\n<p class=\"\" data-start=\"1892\" data-end=\"1907\">Data analysts<\/p>\n<\/li>\n<li class=\"\" data-start=\"1908\" data-end=\"1920\">\n<p class=\"\" data-start=\"1910\" data-end=\"1920\">Managers<\/p>\n<\/li>\n<li class=\"\" data-start=\"1921\" data-end=\"1940\">\n<p class=\"\" data-start=\"1923\" data-end=\"1940\">Decision-makers<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1942\" data-end=\"2030\">Participants will learn how to turn data into a strategic driver for their organization.<\/p>\n<hr class=\"\" data-start=\"2032\" data-end=\"2035\" \/>\n<h3 class=\"\" data-start=\"2037\" data-end=\"2066\">\ud83d\udcda <strong data-start=\"2044\" data-end=\"2066\">Training Overview:<\/strong><\/h3>\n<p class=\"\" data-start=\"2068\" data-end=\"2311\"><strong data-start=\"2068\" data-end=\"2078\">Title:<\/strong> Transforming with Data: Leveraging Data Science to Achieve Competitive Advantage<br data-start=\"2159\" data-end=\"2162\" \/><strong data-start=\"2162\" data-end=\"2175\">Duration:<\/strong> 3 full-day sessions (8:30 AM \u2013 4:00 PM)<br data-start=\"2217\" data-end=\"2220\" \/><strong data-start=\"2220\" data-end=\"2237\">Participants:<\/strong> Minimum of 5<br data-start=\"2250\" data-end=\"2253\" \/><strong data-start=\"2253\" data-end=\"2262\">Cost:<\/strong> Negotiable, based on location and arrangements<\/p>\n<hr class=\"\" data-start=\"2313\" data-end=\"2316\" \/>\n<h3 class=\"\" data-start=\"2318\" data-end=\"2347\">\ud83e\udded <strong data-start=\"2325\" data-end=\"2347\">What You\u2019ll Learn:<\/strong><\/h3>\n<p class=\"\" data-start=\"2349\" data-end=\"2439\">This hands-on training covers essential concepts and workflows in data science, including:<\/p>\n<ul data-start=\"2441\" data-end=\"2850\">\n<li class=\"\" data-start=\"2441\" data-end=\"2473\">\n<p class=\"\" data-start=\"2443\" data-end=\"2473\">Introduction to Data Science.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2474\" data-end=\"2524\">\n<p class=\"\" data-start=\"2476\" data-end=\"2524\">Defining business problems and technical goals.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2525\" data-end=\"2555\">\n<p class=\"\" data-start=\"2527\" data-end=\"2555\">Data collection techniques.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2556\" data-end=\"2576\">\n<p class=\"\" data-start=\"2558\" data-end=\"2576\">Data exploration.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2577\" data-end=\"2604\">\n<p class=\"\" data-start=\"2579\" data-end=\"2604\">Data validation methods.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2605\" data-end=\"2633\">\n<p class=\"\" data-start=\"2607\" data-end=\"2633\">Data cleaning strategies.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2634\" data-end=\"2670\">\n<p class=\"\" data-start=\"2636\" data-end=\"2670\">Defining data objects and labels.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2671\" data-end=\"2716\">\n<p class=\"\" data-start=\"2673\" data-end=\"2716\">Data construction and feature engineering<\/p>\n<\/li>\n<li class=\"\" data-start=\"2717\" data-end=\"2749\">\n<p class=\"\" data-start=\"2719\" data-end=\"2749\">Data modeling and evaluation.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2750\" data-end=\"2795\">\n<p class=\"\" data-start=\"2752\" data-end=\"2795\">Project assessment and impact measurement.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2796\" data-end=\"2850\">\n<p class=\"\" data-start=\"2798\" data-end=\"2850\">Communicating insights through <strong data-start=\"2829\" data-end=\"2850\">data storytelling.<\/strong><\/p>\n<\/li>\n<\/ul>\n<hr class=\"\" data-start=\"2852\" data-end=\"2855\" \/>\n<h3 class=\"\" data-start=\"2857\" data-end=\"2888\">\ud83c\udfaf <strong data-start=\"2864\" data-end=\"2888\">Training Objectives:<\/strong><\/h3>\n<p class=\"\" data-start=\"2890\" data-end=\"2950\">By the end of the program, participants will be equipped to:<\/p>\n<ul data-start=\"2952\" data-end=\"3248\">\n<li class=\"\" data-start=\"2952\" data-end=\"3007\">\n<p class=\"\" data-start=\"2954\" data-end=\"3007\">Foster a culture of <strong data-start=\"2974\" data-end=\"3005\">data-driven decision-making.<\/strong><\/p>\n<\/li>\n<li class=\"\" data-start=\"3008\" data-end=\"3077\">\n<p class=\"\" data-start=\"3010\" data-end=\"3077\">Improve <strong data-start=\"3018\" data-end=\"3049\">efficiency and productivity<\/strong> through smarter analytics.<\/p>\n<\/li>\n<li class=\"\" data-start=\"3078\" data-end=\"3130\">\n<p class=\"\" data-start=\"3080\" data-end=\"3130\">Enhance <strong data-start=\"3088\" data-end=\"3128\">customer experience and satisfaction.<\/strong><\/p>\n<\/li>\n<li class=\"\" data-start=\"3131\" data-end=\"3175\">\n<p class=\"\" data-start=\"3133\" data-end=\"3175\">Drive <strong data-start=\"3139\" data-end=\"3173\">innovation and business growth.<\/strong><\/p>\n<\/li>\n<li class=\"\" data-start=\"3176\" data-end=\"3248\">\n<p class=\"\" data-start=\"3178\" data-end=\"3248\">Build a strong internal talent pool with <strong data-start=\"3219\" data-end=\"3248\">data science competencies.<\/strong><\/p>\n<\/li>\n<\/ul>\n<hr class=\"\" data-start=\"3250\" data-end=\"3253\" \/>\n<h3 class=\"\" data-start=\"3255\" data-end=\"3289\">\ud83d\ude80 <strong data-start=\"3262\" data-end=\"3289\">Gain a Competitive Edge<\/strong><\/h3>\n<p class=\"\" data-start=\"3291\" data-end=\"3502\">Data is a strategic advantage\u2014when harnessed correctly. This training is not just about tools and models, but about building a <strong data-start=\"3418\" data-end=\"3444\">sustainable capability<\/strong> in your organization to compete and lead in the data age.<\/p>\n<h3 class=\"\" data-start=\"3009\" data-end=\"3023\">\ud83d\udcde Contact<\/h3>\n<ul data-start=\"3024\" data-end=\"3182\">\n<li class=\"\" data-start=\"3024\" data-end=\"3089\">\n<p class=\"\" data-start=\"3026\" data-end=\"3089\">\ud83d\udce7 Email: <a class=\"cursor-pointer\" rel=\"noopener\" data-start=\"3036\" data-end=\"3087\">wbudiharto@binus.edu<\/a><\/p>\n<\/li>\n<li class=\"\" data-start=\"3090\" data-end=\"3136\">\n<p class=\"\" data-start=\"3092\" data-end=\"3136\">\ud83d\udcf1 Prof.\u00a0 Widodo (WhatsApp): +62 856 9887 384<\/p>\n<\/li>\n<li class=\"\" data-start=\"3137\" data-end=\"3182\">\n<p class=\"\" data-start=\"3139\" data-end=\"3182\">\ud83d\udcf1 Dr. Emny (WhatsApp): +62 813 8741 3863<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<p style=\"text-align: center\"><strong><span style=\"font-size: 18pt\">Silabus<\/span><\/strong><\/p>\n<p style=\"text-align: center\"><strong>Transformasi dengan Data: Memanfaatkan <em>Data Science<\/em> untuk Mencapai Keunggulan Kompetitif<\/strong><\/p>\n<ul>\n<li>3 hari fullday (Pk. 08.30-16.00)<\/li>\n<li>Jumlah peserta: 5 orang (minimum)<\/li>\n<li>Biaya: <em>sesuai dengan kesepakatan dan tempat pelaksanaan.<\/em><\/li>\n<\/ul>\n<p>Di era digital saat ini, data telah menjadi aset paling berharga (\u201c<em>new oil<\/em>\u201d) bagi organisasi di berbagai industri. Fenomena <em>big data<\/em> yang ditandai dengan tersedianya data bervolume besar, bertambah dengan cepat, memiliki berbagai jenis data, adanya ketidak-pastian data, dan dapat memberikan tambahan nilai. <em>Big data<\/em> pada berbagai industri menciptakan peluang besar bagi perusahaan yang mampu memanfaatkannya dengan tepat. Sehingga, data bukan lagi sekadar catatan transaksi atau informasi mentah, tetapi merupakan sumber daya strategis yang dapat memberikan wawasan berharga (<em>actionable insight<\/em>) untuk pengambilan keputusan yang lebih baik.<\/p>\n<p>Namun demikian, banyak organisasi masih kesulitan memanfaatkan potensi data mereka secara maksimal. Kesenjangan kompetensi di bidang data science menjadi salah satu kendala utama. Kurangnya tenaga ahli yang memiliki kemampuan untuk mengumpulkan, mengolah, menganalisis, dan menginterpretasikan data menjadi hambatan serius bagi perusahaan yang ingin bersaing di era digital.<\/p>\n<p>Dalam konteks bisnis yang semakin kompetitif, transformasi berbasis data menjadi kunci untuk mencapai keunggulan kompetitif. Perusahaan yang mampu memanfaatkan data dengan efektif dapat meningkatkan efisiensi operasional, memahami pelanggan dengan lebih baik. Selain itu, perusahaan tersebut dapat mengembangkan produk dan layanan yang inovatif, serta membuat keputusan yang lebih akurat dan tepat waktu berdasarkan data.<\/p>\n<p><em>Data Science<\/em> (ilmu mengenai data) hadir sebagai solusi untuk mengatasi tantangan tersebut. <em>Data Science<\/em> merupakan gabungan dari berbagai teknik statistik, matematika, pemrograman, dan pengetahuan bisnis. Dengan mengimplementasikan <em>Data Science<\/em>, sebuah perusahaan dapat mengekstrak informasi berharga dari data mereka dan mengubahnya menjadi tindakan yang berdampak positif (<em>actionable insight<\/em>).<\/p>\n<p>Pelatihan <em>Data Science<\/em> selama\u00a0 3 hari <em>fullday<\/em> ini ditujukan untuk staf teknis, data analis, manajer dan pengambil keputusan yang mempunyai tugas dan fungsi untuk mengolah data menjadi wawasan.<\/p>\n<p>Pelatihan ini membahas beberapa topik utama yaitu:<\/p>\n<ul>\n<li>Pengenalan <em>Data Science<\/em>.<\/li>\n<li>Perumusan permasalahan bisnis dan tujuan teknis.<\/li>\n<li>Teknik-teknik pengumpulan data.<\/li>\n<li>Penelaahan data.<\/li>\n<li>Teknik-teknik memvalidasi data.<\/li>\n<li>Pembersihan data.<\/li>\n<li>Penentuan objek data.<\/li>\n<li>Teknik-teknik mengkonstruksi data.<\/li>\n<li>Penentuan label data.<\/li>\n<li>Pemodelan dan evaluasi pemodelan data.<\/li>\n<li>Evaluasi proyek <em>data science<\/em>.<\/li>\n<li>Penceritaan dengan data (<em>data storytelling<\/em>)<\/li>\n<\/ul>\n<p><strong>Target:<\/strong> \u00a0Secara ringkas, target dari pelatihan <em>data science<\/em> pada perusahaan adalah untuk:<\/p>\n<ol>\n<li>Menciptakan budaya pengambilan keputusan berbasis data.<\/li>\n<li>Meningkatkan efisiensi dan produktivitas.<\/li>\n<li>Meningkatkan pengalaman dan kepuasan pelanggan.<\/li>\n<li>Mendorong inovasi dan pertumbuhan bisnis.<\/li>\n<li>Mengembangkan sumber daya manusia yang kompeten di bidang <em>data science<\/em>.<\/li>\n<\/ol>\n<p>Dengan mencapai target-target ini, perusahaan dapat memanfaatkan data sebagai aset strategis untuk mencapai keunggulan kompetitif dan kesuksesan jangka panjang.<\/p>\n<h3 class=\"\" data-start=\"3009\" data-end=\"3023\">\ud83d\udcde Kontak<\/h3>\n<ul data-start=\"3024\" data-end=\"3182\">\n<li class=\"\" data-start=\"3024\" data-end=\"3089\">\n<p class=\"\" data-start=\"3026\" data-end=\"3089\">\ud83d\udce7 Email: <a class=\"cursor-pointer\" rel=\"noopener\" data-start=\"3036\" data-end=\"3087\">wbudiharto@binus.edu<\/a><\/p>\n<\/li>\n<li class=\"\" data-start=\"3090\" data-end=\"3136\">\n<p class=\"\" data-start=\"3092\" data-end=\"3136\">\ud83d\udcf1 Prof.\u00a0 Widodo (WhatsApp): +62 856 9887 384<\/p>\n<\/li>\n<li class=\"\" data-start=\"3137\" data-end=\"3182\">\n<p class=\"\" data-start=\"3139\" data-end=\"3182\">\ud83d\udcf1 Dr. Emny (WhatsApp): +62 813 8741 3863<\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Training Syllabus In today\u2019s digital era, data has become the world\u2019s most valuable resource\u2014the new oil that drives innovation and decision-making across industries. With the explosion of big data\u2014characterized by its volume, velocity, variety, veracity, and value\u2014organizations are presented with immense opportunities. Data is no longer just about recording transactions; it is now a [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":142,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,4,11],"tags":[],"class_list":["post-141","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-products","category-syllabus"],"_links":{"self":[{"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/posts\/141","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/comments?post=141"}],"version-history":[{"count":12,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/posts\/141\/revisions"}],"predecessor-version":[{"id":405,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/posts\/141\/revisions\/405"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/media\/142"}],"wp:attachment":[{"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/media?parent=141"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/categories?post=141"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/binus.ac.id\/humanitarian-ai\/wp-json\/wp\/v2\/tags?post=141"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}