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However, creating intelligence and gleaning real insights from this data is what continues to elude organizations."--Competing on Analytics: The New Science of Winning.
\r\n
\r\nBusiness decisions are often made under uncertainty. In the modern business environment, technological advances facilitate the collection of huge amounts of data, which can potentially improve the decision-making process. Successful businesses make use of Business Analytics and Business Intelligence, which are fundamentally based on quantitative statistical methods and optimization procedures, to identify patterns and trends in their data, which eventually lead to realistic predictions and insightful strategies.
\r\n
\r\nThe sister module, DSC1007 Business Analytics -- Models and Decisions (Business Analytics I), focuses on models and processes. This module is more concerned with data and tools, and introduces students to the fundamental concepts of statistical inference such as parameter estimation and hypothesis testing, as well as to statistical tools useful in business analytics, such as regression analysis and time series forecasting. This follows the theme of delivering hands-on experience in modules focusing on analytics and operations.
\r\n
\r\nThis module was co-designed, and is co-taught, by the Department of Decision Sciences in the NUS Business School and the Department of Statistics and Applied Probability in the Faculty of Science, to draw upon the relevant expertise from the two Departments.
\r\n
\r\nThe module provides all BBA students with a common statistical grounding for Business Analytics, upon which specialization may be built depending on each student’s chosen field. For the truly visionary student, a natural follow-on could in time be the NUS MSc(Business Analytics), or MSBA, http://facebook.com/groups/nusmsba. Biz undergrads may take some MSBA classes (see http://msba.nus.edu); e.g. BMA5002 is an extension of DSC2008, while BDC5101 is of DSC1007.
\r\n
\r\nIn keeping with the principles of Rigor and Relevance, also emphasized in Business Analytics I, students are expected to acquire the following knowledge and abilities.
\r\n
\r\nRigor
\r\n
\r\nParallel to the coverage in Business Analytics – Models and Decisions, this module teaches fundamental concepts underpinning the following business analytic tools:
\r\n
\r\n\tUsing analytical tools to develop insights and understanding of business performance, so as to drive decision making. Building students' confidence to analyze related Asian issues and present findings to a lay audience.
\r\n","Order":5},{"ID":"8e5f053b-8835-4692-be49-41f07234cfff","Title":"Assessment","Description":"\n\tAssessment Components:
\n\n\tIndividual Tutorial Assignments (Weeks 4 & 10): 20%
\n\tGroup Project (due Week 12; presentation Week 13): 20%
\n\tClass Participation: 20%
\n\tFinal Examination (Open Book; bring anything except computers and handphones: probably on Thursday, 30 April 2015 (Morning):40% (Look under IVLE module Timetable for official announcement.)
\n\t
\n\tAssessment for Participation will also take into account a student’s attitude, responsiveness, etiquette, attendance, punctuality, cooperation, compliance, communal spirit, contribution (e.g. sharing of useful web links), and involvement in any activities in the IVLE Chat Room & Discussion Forum. Please display your (nick)name on a placard or "tent" placed in front of you when you attend a tutorial, if the room furniture allows it. Thanks.
\n\t
\n\tTutors will help with forming of Project groups as necessary.
\n\t
\n\tAssignments and Project reports are to be uploaded to the respective IVLE Workbins by 23:59 on the respective due dates: 8 Feb (Week 4: 1st Assignment), 29 Mar (Week 10: 2nd Assignment), 11 Apr (Saturday on Week 12: Project report).
\n\t
\n\tBusiness students who excel in DSC1007 and DSC2008, especially those who are also active in business analytics activities outside of class (e.g. are members of the Business Analytics Consulting Team (BACT) http://fb.com/groups/bizact/members -- click on “... See More” under the description for "Closed Group"), will be considered for the two SAS Scholarships, http://bba.nus.edu/honour_donated_scholarship.html, worth $12,500 each, in August/September each year. Recipients will have to complete a 10-week internship with SAS or its many client firms.
\n\t
\n\tBACT members offer walk-in or email consulting, mainly for software use (but also for tutorial questions) in DSC1007 & DSC2008. Please consult your tutors normally for analytics questions. Walk-in consulting schedule will be posted at http://facebook.com/nusbact and http://bizblogs.nus.edu/bact/ba2-tips/consultations, with consulting room at Mochtar Riady Building BIZ1 8-2. Email consulting is available at bact@nus.edu.sg.
\n\t
\n\tYou are responsible for reading all module Announcements. You can miss important instructions if your NUS email account is full and not accepting emails.