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  • BUSINESS ANALYTICS &BUSINESS INTELLIGENCE

    CRITICAL SUCCESS FACTOR FOR BUSINESSES | GAME CHANGER FOR YOUR CAREER

    BABIc

  • BIG DATA. BIGGER OPPORTUNITY.

    Indian Risk Analytics Industry is expected to grow to $2.5 billion by 2020 up from $700 million in 2013 at a CAGR of 20%.

    2013 2020

    $700MILLION

    $2.5BILLION

    Indian Marketing Analytics Industry is projected to grow from 200 million USD to 1.2 billion USD in 2020 at a CAGR of 25%.

    2013

    2020

    200 MILLION USD

    1.2 BILLION USD

    25% CAGR

    INDUSTRY WISE EMPLOYMENTOF ANALYTICS PROFESSIONALSIN INDIA

    $$

    $$$$$$

    DEMAND by 2015

    SUPPLY in 2013

    50,000

    2,50,000Sources: NASSCOM, Mckinsey, Heidrick and Struggles

    49%IT/ITES

    16%BFSI

    10%OTHERS

    9%CONSULTING

    15%MARKETING

    RISK ANALYTICS INDUSTRY(INDIA) TO GROW BY 300%

    MARKETING ANALYTICSINDUSTRY (INDIA) TO GROW TO$1.2BN BY 2020

    5X INCREASE IN JOBS

  • Great Lakes Institute of Management is delighted to oer a one year Blended Program (Classroom and Online) for working executives to help them build managerial competencies in the emerging critical area of Business Analytics and Business Intelligence. This program blends Academic Elegance with Business Relevance and paves the way for decision making in the midst of big data that bewilders business managers by its sheer size and complexity.

    This program embraces a variety of techniques that can be used by companies to make eective strategic decisions apart from significantly improving performance in key dimensions. The art of modeling a business problem, then finding the solution using analytics, and finally successfully implementing the solution are the hallmarks of this program.

    The candidates pursuing this program can expect to gain an overview of business foundation and a comprehensive knowledge of analytical techniques, with an applied industry orientation designed for professionals interested in a career in analytics.

    Exhaustive coverage, Hands-on application, Multi-domain and industry exposure are the features that make the Great Lakes Business Analytics program your gateway to a successful analytics career.

    It is becoming imperative for businesses to draw insights and tangible actions from data. Business Analytics and Business Intelligence are indispensable for todays managers and business leaders.

    DEANS MESSAGE

    J L Kellogg Distinguished Professor (Emeritus in Service) of Accounting and Information Management, Northwestern University, Illinois, USAFounder & Dean, Great Lakes Institute of Management

    Padma Shri Dr. Bala V. Balachandran

  • The curriculum combines Academic Elegance and Business Relevance to facilitate the participants learn basics of management, followed by analytical techniques and weaves them with applications for data baseddecision making.

    INDUSTRY RELEVANT CURRICULUM2

    The program creates a blended learning environment that causes minimaldisruption to work schedule. The classroom sessions are followed up by online learning that keep your learning continuous, self-paced and cumulative.

    3 INNOVATIVE PEDAGOGY

    4An integral part of the learning experience is the use of Analytics tools wherein the candidates get hands-on exposure to SAS, Tableau and R.

    HANDS ON EXPOSURE

    1Great Lakes is one of the premier business schools in the country and has been ranked within the top ten in the country by Outlook, Business Today and Business India.

    Great Lakes PGPBA is ranked within the top 3 Business Analytics programs by Analytics India magazine and in the top 2 by Analytics Vidhya.

    GREAT LAKES ADVANTAGE

    5 CORPORATE PARTNERSThe program is designed, delivered and endorsed by leading analytical, technology and consulting organizations. Our corporate partners are involved in curriculum design, facilitating projects, industry lectures and also suggesting pedagogical improvements.

    PROGRAM BENEFITS

  • PROGRAM PEDAGOGY

    This program is designed to transform candidates to business ready analytics professionals through hands on experiential learning on relevant tools. This is achieved through an experiential learning format wherein participants practise exercises and assignments on software packages such as SAS, R and Tableau.

    3 EXPERIENTIAL LEARNING

    1The program consists of 230 hours of classroom sessions delivered by Great Lakes faculty and industry professionals from the field of analytics. This ensures that the program imbibes Great Lakes academic elegance and Industrys Business relevance, thereby providing the candidates with a remarkable learning experience.

    CLASSROOM LEARNING

    4This is an important component of the program that complements and substantiates the learning with an applied orientation. The participants get the opportunity to listen to eminent speakers from leading analytics companies and assimilate the best practices discussed by them in their lectures.

    INDUSTRY PERSPECTIVE LECTURES

    5 CAPSTONE PROJECTAll candidates would be pursuing an application oriented capstone project in the field of Business Analytics. The project shall be mentored and evaluated by faculty from Great Lakes or Industry. The project will be presented to the faculty board as part of the requirement for successful completion of the program.

    6 PROGRAM FORMATThis program has about 330 hours of learning comprising 230 hours of classroom learning and 100 hours of online/ o classroom. The calendar is designed such that most classes are conducted on weekends and public holidays, thereby causing minimal disruption to work schedule.

    All candidates have access to the online LMS that hosts content (classroom recording, discussions forums, assignments, reading material) and live webinars to enable the candidates continue their learning during o campus. The LMS provides an innovative learning environment that encourages collaborative approach between the candidates thus paving the way for maximizing learning eectiveness.

    ONLINE - LEARNING MANAGEMENT SYSTEM2

  • PROGRAM CURRICULUM

    Business Finance Role of financial statements in analyticsGoals of Financial ManagementUnderstanding and Analyzing Financial StatementsRatio Analysis as a tool to evaluate performanceBreakeven Analysis and Margin of SafetyProfit planning & budgetingGrowth Planning and Investment EvaluationCash and Recievables managementCash Budgeting

    Supply Chain Management &Operations

    Introduction to Operations and Supply Chain ManagementDemand forecasting and Business PlanningInventory managementWaiting Lines and Supply Chain DesignStrategic Capacity Planning and Management - Decision Trees

    Advanced Statistics ANOVA with interaction eects ANCOVA, MANOVAFactor analysisDiscriminant analysisPrincipal Component Analysis

    * This is an indicative course list and may be revised from time to time.

    Market Segmentation, targeting and positioningCustomer identification and profitability based segmentationDeveloping, collecting and managing customer intelligenceRFM AnalysisCustomer lifetime valueOverview of marketing metricsCustomer experience metricsProduct category and customer profitability metricsSales force and channel metricsAdvertising and sales promotion metricsSocial network analysis and content analysis

    Marketing and CRM

    Data collection, presentation; measures of central tendency and dispersionIntroduction to probabilityProbability distribtionSamplingHypothesis testing and estimationBasics of ANOVABasics of Correlation and RegressionGoodness of Fit, Fitting Probability Distribution

    Statistical Methods forDecision Making

    COURSE NAME CONTENTSCOURSE NAME CONTENTS

  • PROGRAM CURRICULUM

    Data Mining Cluster analysisDecision Trees(CART)Neural NetworksRandom ForestAssociation analytics

    Data Visualization using TABLEAU Data Visualization using TABLEAU

    Optimization Techniques Linear Programming - Application to Business Decision MakingInteger and Mixed Integer Programming & ApplicationsGoal programmingNetwork Optimization Models

    Finance and Risk Analytics Market RiskCredit risk -CorporateCredit risk -RetailFraud preventionRegulatory Analytics

    Multiple Linear Regression(MLR)Dummy Regression Conjoint Analysis using Dummy Regression with Eect CodingNon Linear Regression- Logit and ProbitNon Linear Regression- Tobit

    Predictive Modeling

    Big Data Analytics using HADOOPBig Data Analytics using HADOOP

    Marketing eectiveness - Pricing, Market Mix Model, Market Basket Analytics Customer analytics - Acquisition, Retention, GrowthStore Design and Store Analytics

    Marketing & Retail Analytics

    Supply Chain and Logistics Analytics Analytics in Sales and Operational PlanningAnalytics in ProcurementAnalytics in Inbound and Outbound Logistics

    Google Analytics/AdwordsSEO and SEM - Metrics and campaign analysisChallenges in data extractionSocial Media AnalyticsText Mining and Sentiment Analysis

    Web and Social Media Analytics

    Applications in selected other domainsDomain Application of Analytics

    COURSE NAME CONTENTS

    *This is an indicative course list and may be revised from time to time.

  • PROGRAM CURRICULUM

    A distinguishing feature of the pedagogy is the invaluable insights and exposure that

    participants get from leading practitioners and senior industry executives. Organizations from

    which experts have contributed to our lectures, projects and case studies include:

    SAS Tableau R

    TOOLS TO BE COVERED

    Capstone Project Case Studies Assignments

    EXPERIENTIAL LEARNING

  • CAPSTONE PROJECTS

    *This is an indicative list and mentions only some of the projects pursued by PGPBA candidates. Please note that the list of the projects may vary from batch to batch.

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    Financial & Social MediaMicro Blog Sentiment Analysis in forecasting Stock Prices in NSE

    TelecomAssess the revenue impact of a proposed change in pricing plan

    Social MediaAnalysis of Social Media Campaign by AamAadmi Party using RapidMiner

    Financial Risk AnalyticsUsing company fundamentals + Market Valuation to determine the right investment strategy in the Indian Market

    Energy AnalyticsUnderstand household consumption patterns for electricity and water in Qatar to estimate future energy needs of each household

    Policy EvaluationEvaluating the impact of ASHA program in delivering health services to women in rural areas

    TelecomRFM & Market Basket Analysis for female clientele for improving customer response rates on cross-sell/up-sell campaigns

    Public Policy AnalyticsDeveloping Least Cost eective intervention in primary schools

    HealthcareLead generation using text analytics on social data for a Healthcare insurance company

    Machine LearningMachine Data Analytics/ Analytics on Data Produce by Internet of things

    Policy Evaluation

    Healthcare

  • (Program Co-Director)Founder, Dean and Professor, Great Lakes Ph.D (Carnegie Mellon), MS (Carnegie Mellon)

    Dr. Bala V. Balachandran

    (Co-Director, Chennai)Professor Analytics & Operations, Great LakesPh.D (Madras University), MBA (FMS Delhi)

    Dr. P. K. Viswanathan

    (Co-Director, Gurgaon)Professor Analytics & Statistics, Great Lakes Ph.D (Indian Statistical Institute)

    Dr. Bappaditya Mukhopadhyay

    Professor Business Intelligence, Great LakesPh.D (University of Virginia, USA), MBA (IIT Delhi)

    Dr. Himadri Das

    Professor - Marketing, Great LakesPh.D (University of Maryland, USA)

    Dr. S. Bharadwaj

    Professor - Finance & Accounting, Great LakesPh.D (University of Burdwan)

    Dr. Ahindra Chakrabarti

    Professor - Finance & Accounting, Great LakesPh.D (Temple University)

    Dr. Sanjoy Sircar

    Professor - Marketing, Great LakesPh.D (Vikram University), MBA(Banaras Hindu University)

    Dr. Umashankar Venkatesh

    Professor Supply Chain Management, Great Lakes Ph.D (Ohio State University, USA)

    Dr. Vaidy Jayaraman

    FACULTY

    In addition to faculty from Great Lakes, senior analytics professionals from the industry deliver courses that help candidates appreciate and understand Business Relevance, thereby providing the best of academic and industry exposure to candidates in the program.

    Prof. D. Sriram

    Assistant Professor - Marketing,Great LakesPursuing FPM (XLRI, Jamshedpur),MMS (BITS, Pilani), M Sc (BITS, Pilani)

    Dr. R. L. Shankar

    Professor - Finance, Great LakesPh.D ( EDHEC, Singapore),MS (Carnegie Mellon University, Pittsburg), B.Tech (IIT, Madras)

  • INDUSTRY GUESTS

    The Structure of the PGPBA program is very interesting, in which learning happens both inside and outside the classroom.

    - Mr. Lakshmi NarayanVice Chairman,

    Cognizant Technology Solutions

    Great Lakes PGPBA is a fantastic confluence of 3 things - experience, education and engagement.

    - Mr. Suresh KrishnaswamyDirector, Analytics

    Cognizant Business Consulting

    Director Essex Lakes Group

    Shailesh Ranjan

    Vice PresidentAccenture

    Dr. V. Subramanian

    Chairman & Co-founderLatent View

    Venkat Viswanathan

    Director, Research & AnalyticsAbsolut Data

    Titir Pal

    Vice ChairmanCognizant Technology Solutions

    Laxmi Narayan

    Vice PresidentEvalueserve

    Sonjoy Roy Choudhury

    Vice PresidentAmerican Express

    Jaytu Sen Chaudhury

    Sr. Business AnalystEvalueserve

    Damanpreet Kaur

    Director, Operations & ITJabong

    Vineet Baid

    Marketing Planning & AnalyticsFounder & CEO, Frmr. Head BusinessCentury Link

    Shirish Singh

    Analytics & IntelligenceAnalytics Vidhya

    Kunal Jain

    Co-Founder & DirectorFN MathLogic Consulting

    Manu Chandra

    Senior Director,Product & OperationsShopclues

    Manish Chandra

    Co-Founder & DirectorWhisskers Marketing Pvt. Ltd.

    Pooja Verma

    Managing DirectorAccenture

    Sanjay Ojha

    Director, AnalyticsCognizant Technology Solutions

    Suresh Krishna Swamy

  • MEET THE CLASS

    WORK EXPERIENCE SPREAD

    The PGP-BA class consists of professionals across various industries, with a wide range ofexperience across roles in technology, consulting, analytics and marketing

    The PGPBA class comes from some of the leading organizations. Some of their current employes include :

    INDUSTRY DIVERSITY

    17%Analytics

    55%Technology

    18%Consulting

    10%Others

    0 5 10 15 20 25 30 35 40 45

    10+

    5 to 10

    2 to 5

  • STUDENTS SPEAK

    I appreciate the emphasis placed on connecting theory to practical application. The diverse professional experience of the batch isleveraged by the professors, who let us decide the breadth and depth of topics covered. Two thumbs up for Great Lakes.

    - Clarence WongConsultant at ValueLabs

    PGPBA Class of 2015

    PGPBA is a very targeted and focused course for professionals wanting to breakthrough in the analytics domain. The course is well structured with respect to content and is backed by great faculty and thus providing a solid platform to foray into the analytics domain.

    - Karan SeghalAssociate Vice President, Copal Partners

    PGPBA Class of 2015

    My journey in Great Lakes so far has been incredibly informative. Each faculty member is not only a recognised expert in their respective domain but also has a wealth of life experience which opens our eyes to all the real world scenarios.

    - Sudhanshu PathakSAP Consultant at KPMG

    PGPBA Class of 2015

  • POST GRADUATE PROGRAM IN BUSINESS ANALYTICS

    ADMISSION DETAILS

    Applicants should have Bachelors Degree in any discipline with a minimum of 50% aggregate marks in graduation or equivalent and a minimum of two years full-time post qualification work experience. Preference will be given to candidates with Engineering, Mathematics, Statistics, and Economics background. For applicants with exceptional qualification and/or industry experience, a relaxation in the mini-mum eligibility criteria may be considered.

    ELIGIBILITY

    1The faculty panel will review all the applications and shortlist candidates based on their profiles.

    2The shortlisted candidates would then be called for interviews. Interviews may be conducted in person or over video/tele conferencing.

    3The admissions will be conducted on a rolling basis and the admission process shall be closed once the requisite number of candidates have taken admission into the program.

    PROCESS

    Fee: `4,25,000 + Service Tax Fee: `3,55,000 + Service Tax

    Fee Includes: Fee Includes:

    Great Lakes, Chennai Great Lakes, Gurgaon

    PROGRAM INFORMATION

    Tuition Fee Tuition FeeBoarding + Lodging(TWIN SHARING)

    Learning Material

    Lab AccessLearning Material Lab Access Lunch

  • PROGRAM PARTNERS

    Great Lakes is one of Indias leading business schools with campuses in Chennai and Gurgaon. Led by exceptional faculty, steered by an outstanding advisory council, Great Lakes has been ranked within top 10 business schools by Outlook, Business Today and Business India.

    Great Learning is a technology enabled learning services platform that oers a variety of online and blended learning programs in partnership with Great Lakes Institute of Management, one of Indias leading business schools. It undertakes all operations and technology related aspects of these programs and has developed technology solutions to ensure high quality learning outcomes to learners across India and abroad.

    Jigsaw Academy imparts analytics training online leveraging content developed by analytics experts from around the world. The content is highly industry relevant thereby enabling learners to understand and apply analytical techniques to real world problems.

    ACADEMIC PARTNER

    ONLINE CONTENT PARTNER

    TECHNOLOGY & ADMINISTRATIONPARTNER

  • BIG DATA.BIGGEROPPORTUNITY.

    Build a career in analytics

    PGPBA CONTACT Phone: +91-87506-48238

    Web: http://elearning.greatlakes.edu.in/pgpba/

    Email: [email protected]