{"ModuleCode":"DSC5211B","ModuleTitle":"Analytical Tools for Consulting","Department":"Decision Sciences","ModuleDescription":"Business analysts and consultants hold strategic positions within the knowledge-oriented firm. They play a major role in making the Supply Chain, Marketing, Finance and HR departments more efficient, customer-centric and profitable. The course prepares participants for the work environment and the diverse challenges faced by business analysts and consultants. 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\nCourse Objectives
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\nThomas Davenport, in his article titled “Competing on Analytics” in Harvard Business Review, 2006, has said “Some companies have built their very businesses on their ability to collect, analyze and act on data. Every company can learn from what these firms do.”
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\nThe focus of this course is learning Analytics – data based decision making – the art of analyzing, making sense out of and strategizing from data - whether you are flooded with or when faced with little data.
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\nThe belief in this course is Analytics talent in 21st century is as important and significant as programming language was in 1980’s and 1990’s.
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\nWe will address the course from a consulting perspective – as we deal with a wide range of industry segments, as well as varied interactive functional areas and approach situation. We will address the issues as a consultant would address it using the gamut of analytics tools.
\n
\n","Order":1},{"ID":"5e5f053b-8835-4692-be49-41f07234cfff","Title":"Synopsis","Description":"Course Plan
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\nWe will study how varied businesses succeeded through Analytics - whether it is Netflix for film rental, Boston Red Sox in Baseball or Capital One in Credit cards.
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\nWe will, through the sessions, handle varied decision making situations, situations involving strategic decisions with lots of data, with very little data.
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\nThe course will encompass all relevant aspects of Business Statistics – encompassing descriptive statistics , inferential statistics, as well as dwell into all relevant aspects of data / decision modelling tools like linear programming, simulation etc. as well as forecasting and predictive modelling tools.
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\nAs a part of the course the student will undertake analyzing some live data going through the entire gamut of compilation, analysis and decision making.
\n","Order":5},{"ID":"8e5f053b-8835-4692-be49-41f07234cfff","Title":"Assessment","Description":"Assessments
\nThis is a 100% CA course.
\n
\n
\n\t\t\t\tComponent | \n\t\t\t\n\t\t\t\tWeight | \n\t\t
\n\t\t\t\tAssignments on simulation, guesstimation, forecasting25 | \n\t\t\t\n\t\t\t\t 25% | \n\t\t
\n\t\t\t\tClass Group Presentation | \n\t\t\t\n\t\t\t\t 10 % | \n\t\t
\n\t\t\t\tGroup Analytics Project | \n\t\t\t\n\t\t\t\t 20 % | \n\t\t
\n\t\t\t\tFinal Examination on last session/ week | \n\t\t\t\n\t\t\t\t 45 % | \n\t\t
\n\t\t\t\tTotal | \n\t\t\t\n\t\t\t\t100 % | \n\t\t