{"id":3136,"date":"2023-06-08T13:38:27","date_gmt":"2023-06-08T10:38:27","guid":{"rendered":"https:\/\/www.ba.ihu.gr\/?post_type=course&#038;p=3136"},"modified":"2025-04-03T11:04:02","modified_gmt":"2025-04-03T08:04:02","slug":"%ce%b312","status":"publish","type":"course","link":"https:\/\/www.ba.ihu.gr\/en\/courses\/%ce%b312\/","title":{"rendered":"Business Intelligence and Analytics"},"author":6,"template":"","meta":[],"semester":[68],"course_type":[14],"acf":{"code":"\u039312","semester":[68],"level":"1","teaching_activities":{"activity_1":{"description":"Lectures and Practice\/Exercises","weekly_hrs":3,"ects":5},"activity_2":{"description":"","weekly_hrs":"","ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":14,"language":"Greek","erasmus":"\u038c\u03c7\u03b9","url":"","prerequisites":"","instructors":[5254],"coordinator":"","content":"<ul>\r\n \t<li>Introduction to business intelligence and business analytics: key concepts, benefits, challenges and limitations.<\/li>\r\n \t<li>Visual and exploratory data analysis: types of charts and their characteristics.<\/li>\r\n \t<li>Visual and exploratory data analysis: applications.<\/li>\r\n \t<li>Rules for understanding and correct interpretation of data.<\/li>\r\n \t<li>Knowledge discovery in data and data mining: concepts and techniques.<\/li>\r\n \t<li>Knowledge discovery in data and data mining: applications.<\/li>\r\n \t<li>Principles of problem modeling - data preprocessing.<\/li>\r\n \t<li>Analytical models based on association rules.<\/li>\r\n \t<li>Analytical models based on clustering.<\/li>\r\n \t<li>Analytical models based on classification.<\/li>\r\n \t<li>Applications of business analytics in sales and marketing (segmentation, pricing, discounts).<\/li>\r\n \t<li>Business intelligence and business analytics software: features and trends.<\/li>\r\n<\/ul>","goals":"The objectives of this lesson are:\r\n<ul>\r\n \t<li>To highlight the importance of data in making the right business decisions.<\/li>\r\n \t<li>To introduce students to the subject of business intelligence and business analytics.<\/li>\r\n \t<li>To impart knowledge of data processing and utilization for making business decisions.<\/li>\r\n \t<li>To present different techniques of analysis, processing and visualization of data, so that students gain a comprehensive understanding of the possibilities of exploiting business data.<\/li>\r\n<\/ul>\r\nUpon completion of the course students should be able to:\r\n<ul>\r\n \t<li>Know basic concepts and principles of data discovery, business analytics and business intelligence.<\/li>\r\n \t<li>Apply simple techniques for developing data analysis models, processing and visualizing data.<\/li>\r\n \t<li>Decide on the type of data necessary to make the right business decisions every time.<\/li>\r\n \t<li>choose the right data processing and visualization techniques every time to solve each business problem.<\/li>\r\n \t<li>Analyze business problems through data processing and be guided to the right decisions.<\/li>\r\n<\/ul>","skills":"to be filled","teaching_methods":"<ul>\r\n \t<li>Face to face.<\/li>\r\n<\/ul>","ict_usage":"<ul>\r\n \t<li>Online guidance.<\/li>\r\n \t<li>Slides Projection in the classroom.<\/li>\r\n \t<li>Use of E-mail and onlne communication systems.<\/li>\r\n \t<li>Use of e-learning system (moodle).<\/li>\r\n<\/ul>","teaching_organization":{"activity_1":{"description":"Lectures","workload":39},"activity_2":{"description":"Project","workload":45},"activity_3":{"description":"Personal Study","workload":41},"activity_4":{"description":"","workload":""},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"to be filled","bib_textbooks":"\u03a0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u0392\u03b9\u03b2\u03bb\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1:\r\n<ol>\r\n \t<li>\u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u0395\u03c5\u03c6\u03c5\u0390\u03b1, \u0391\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u039c\u03b5\u03b3\u03ac\u03bb\u03c9\u03bd \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b3\u03b9\u03b1 \u039b\u03ae\u03c8\u03b7 \u0391\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd, \u039d\u03b9\u03ba\u03cc\u03bb\u03b1\u03bf\u03c2 \u039c\u03b1\u03c4\u03c3\u03b1\u03c4\u03c3\u03af\u03bd\u03b7\u03c2, \u0395\u039a\u0394\u039f\u03a3\u0395\u0399\u03a3 \u039d\u0395\u03a9\u039d \u03a4\u0395\u03a7\u039d\u039f\u039b\u039f\u0393\u0399\u03a9\u039d, 2020. \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u0392\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c3\u03c4\u03bf\u03bd \u0395\u03cd\u03b4\u03bf\u03be\u03bf: 94702117.<\/li>\r\n \t<li>\u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u0391\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5 \u03a5\u03c0\u03bf\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2 \u0394\u03b9\u03bf\u03b9\u03ba\u03b7\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b7\u03c2, Asllani Arben, Broken Hill Publishers Ltd, 2018. \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u0392\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c3\u03c4\u03bf\u03bd \u0395\u03cd\u03b4\u03bf\u03be\u03bf: 77110693.<\/li>\r\n<\/ol>\r\n\u0386\u03bb\u03bb\u03b1 \u03c3\u03c5\u03b3\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03b1:\r\n<ol>\r\n \t<li>\u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u0395\u03c5\u03c6\u03c5\u0390\u03b1 \u03ba\u03b1\u03b9 \u0395\u03be\u03cc\u03c1\u03c5\u03be\u03b7 \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd - \u0391\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u0393\u03bd\u03ce\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u039b\u03ae\u03c8\u03b7 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u0391\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd, \u039a\u03cd\u03c1\u03ba\u03bf\u03c2 \u0395\u03c5\u03c3\u03c4\u03ac\u03b8\u03b9\u03bf\u03c2, \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac \u0391\u03ba\u03b1\u03b4\u03b7\u03bc\u03b1\u03ca\u03ba\u03ac \u0397\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03a3\u03c5\u03b3\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u0392\u03bf\u03b7\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1 - \u0391\u03c0\u03bf\u03b8\u03b5\u03c4\u03ae\u03c1\u03b9\u03bf \"\u039a\u03ac\u03bb\u03bb\u03b9\u03c0\u03bf\u03c2\", 2016. \u0397\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u0392\u03b9\u03b2\u03bb\u03af\u03bf - \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u0392\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c3\u03c4\u03bf\u03bd \u0395\u03cd\u03b4\u03bf\u03be\u03bf: 320088.<\/li>\r\n \t<li>\u0394\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c5\u03c6\u03c5\u0390\u03b1, \u0398\u03b5\u03c9\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03a3\u03c4\u03b5\u03bb\u03ad\u03c7\u03b7 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd, \u03a3\u03c4\u03b1\u03bb\u03b9\u03b4\u03b7\u03c2 \u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2, \u039a\u03b1\u03c1\u03b4\u03b1\u03c1\u03b1\u03c2 \u0394\u03b7\u03bc\u03ae\u03c4\u03c1\u03b9\u03bf\u03c2, \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac \u0391\u03ba\u03b1\u03b4\u03b7\u03bc\u03b1\u03ca\u03ba\u03ac \u0397\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03a3\u03c5\u03b3\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u0392\u03bf\u03b7\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1 - \u0391\u03c0\u03bf\u03b8\u03b5\u03c4\u03ae\u03c1\u03b9\u03bf \"\u039a\u03ac\u03bb\u03bb\u03b9\u03c0\u03bf\u03c2\", 2016. \u0397\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u0392\u03b9\u03b2\u03bb\u03af\u03bf - \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u0392\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c3\u03c4\u03bf\u03bd \u0395\u03cd\u03b4\u03bf\u03be\u03bf: 320080.<\/li>\r\n \t<li>\u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u0391\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03a0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ac \u03a5\u03c0\u03bf\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u039c\u03ac\u03c1\u03ba\u03b5\u03c4\u03b9\u03bd\u03b3\u03ba \u03ba\u03b1\u03b9 \u0394\u03b9\u03b1\u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5, \u039c\u03c0\u03ac\u03bb\u03c4\u03b1\u03c2 \u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2, \u03a1\u03b5\u03c0\u03bf\u03cd\u03c3\u03b7\u03c2 \u03a0\u03b1\u03bd\u03b1\u03b3\u03b9\u03ce\u03c4\u03b7\u03c2, \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 ROSILI, 2\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7, 2018. \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u0392\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c3\u03c4\u03bf\u03bd \u0395\u03cd\u03b4\u03bf\u03be\u03bf: 77120327.<\/li>\r\n<\/ol>","bib_journals":"<ol>\r\n \t<li>Journal of Business Analytics.<\/li>\r\n \t<li>International Journal of Business Intelligence and Data Mining.<\/li>\r\n \t<li>International Journal of Business Analytics.<\/li>\r\n \t<li>International Journal of Business and Data Analytics.<\/li>\r\n \t<li>Journal of Intelligence Studies in Business.<\/li>\r\n \t<li>Analytics Magazine - Institute for Operations Research.<\/li>\r\n \t<li>Information Visualization.<\/li>\r\n \t<li>Data Science Journal.<\/li>\r\n \t<li>International Journal of Data Science and Analytics.<\/li>\r\n \t<li>International Journal of Data Science.<\/li>\r\n \t<li>Intelligent Data Analysis journal.<\/li>\r\n \t<li>Intelligent Data Analysis.<\/li>\r\n \t<li>Journal of Intelligent Information Systems.<\/li>\r\n \t<li>Statistical Analysis and Data Mining.<\/li>\r\n \t<li>IEEE Transactions on Knowledge and Data Engineering.<\/li>\r\n \t<li>Journal of Big Data.<\/li>\r\n \t<li>Annals of Data Science.<\/li>\r\n \t<li>Decision Support Systems.<\/li>\r\n \t<li>Journal of Decision Systems.<\/li>\r\n<\/ol>"},"_links":{"self":[{"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/course\/3136"}],"collection":[{"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":18,"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/course\/3136\/revisions"}],"predecessor-version":[{"id":5267,"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/course\/3136\/revisions\/5267"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/staff\/5254"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/14"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/68"}],"wp:attachment":[{"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=3136"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=3136"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.ba.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=3136"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}