Bachelor of Science in Business Administration with Specialization in Business Analytics

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1 November 2, 2013 Bachelor of Science in Business Administration with Specialization in Business Analytics Trogo, R 1., Pelayo, S. 2, Sabido, D. 1, Loma, E 3., De La Cuesta, J. 3, Torralba, O. 4 1 IBM Philippines STG, R&D 3 Asia Pacific College 2 IBM Philippines ISD, BAO 4 Commission on Higher Education

2 Outline of Discussion Rationale Program Description Curriculum Implementation Current Efforts

3 Guaranteed Jobs in the Philippines The United States alone faces a shortage of 140,000 to 190,000 people with analytical and managerial expertise and 1.5 million managers and analysts with the skills to understand d and make decisions i based on the study of big data (exhibit). Graduates with Business Analytics Specialization can potentially fulfill this global opportunity New McKinsey Global l Institute t Report May

4 Broad Range of Skills Categories Data experts to manipulate and integrate big data Domain strategy skills to develop the right questions, determine which data is important Mathematical and operations research to develop analytics algorithms Executive and management skills to know when and how to use data for making decisions Tool developers to mask the complexity of data and analytics to lower skill boundaries Visualization skills to interpret data and present in meaningful ways 4

5 Analytics Course Roll-Out April 22-26, 2013

6 Analytics Course Roll-Out April 22-26, 2013

7 Business Analytics Specialization Track Aims to present Business Analytics to Bachelor of Science in Business Administration students Aims to orient future managers of the benefits that can be offered by Business Analytics Aims to enable students to analyze data from multiple sources and present them in different methods and techniques that can be used for fact-based decisionmaking Highlights compliance to corporate code of ethics, policies, best practices, standards governing confidentiality and non-disclosure agreement

8 Business Analytics Specialization Track Fundamentals of Business Analytics Fundamentals of Data Warehousing Fundamentals of Descriptive Analytics Fundamentals of Predictive Analytics Fundamentals of Prescriptive Analytics Internship

9 Learning Outcomes Define business requirements Tailor data architecture Describe where to look for data in an organization and create required reports Analyses to support business optimization Understand data management concepts and criticality of data availability in order to make reliable business decisions i Demonstrate understanding of business intelligence including the importance of data gathering, data storage, data analysis and data access Apply different analytics modeling concepts on enterprise data Understand the functions and data access constraints of various departments within an organization and provide compliance reports

10 Learning Outcomes Work on various analytics tools available in the market for various business functions Participate actively in business discussions with various departments and create common reports or specific/unique reports with regard to predictive and prescriptive analytics Understand the business processes as they relate to data analysis and optimization i Convey results of data analysis to organizational stakeholders at various levels Perform high-quality task required by the organization in particular, and the industry in general

11 Bottomline Identify opportunities for the different types of analytics Descriptive e Analytics Predictive Analytics Prescriptive Analytics

12 Fundamentals of Business Analytics Provides an overview of each type of analytics Enables students to identify opportunities for analytics given a scenario through multiple case studies

13 Fundamentals of Data Warehousing Introduces students to the benefits of data warehousing Differentiates relational databases from multidimensional databases Provides a discussion on how to adapt data warehousing as an approach for managing data Highlights the needed resources to roll out a data warehouse Illustrates the relevance of data warehousing to analytics Emphasizes requirements gathering and the involvement of the business is made to bridge the usual gap between business and IT people

14 Fundamentals of Data Warehousing Not technical Meant for managers who can charter changes in the future Introduces IBM Cognos Report Studio

15 Fundamentals of Descriptive Analytics Teaches students to prepare reports using descriptive analytics tools Provides case studies from (Richards & Mindel, 2013) to enable students to learn report authoring Teaches students to use IBM Cognos Report Studio Presents an opportunity to get an IBM Cognos Report Studio Advanced Report Authoring Certification

16 Fundamentals of Predictive Analytics Introduces students to different techniques used to build predictive models Requires students to build and evaluate their own predictive models Data that will be used will be from (Bache & Lichman, 2013)

17 Fundamentals of Prescriptive Analytics Reviews operations research techniques previously discussed Presents operations research techniques not yet previously discussed Uses IBM ILOG CPLEX Optimization Studio

18 Internship Aims to prepare students for their eventual jobs and careers in business analytics Requires partnership of the universities with different companies

19 Implementation Commission on Higher Education (CHED) Technical Panel for Business and Management Education CHED Memorandum Order Orientation Training Loud, P. (2013). Philippine Map. Available Online: Last Retrieved: October 2013.

20 Commission on Higher Education and IBM Cerda,J.(2013). CHED, IBM to Introduce Analytics to Business, IT Students. Philstar.Com. Available Online; Last Retrieved: October 2013.

21 Fundamentals of Analytics Training October 21-24, 2013

22 Business Analytics Society of Educators (BASE) - Philippines

23 IBM in the Philippines Maraming Salamat Po! 23

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