November 2, 2013
Bachelor of Science in Business Administration
with Specialization in Business Analytics
Outline of Discussion
Outline of Discussion
•Rationale
Rationale
•Program Description
•Curriculum
•Implementation
•Current Efforts
•Current Efforts
Guaranteed Jobs in the Philippines
pp
“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 kill t d t d d k d i i b d th t d f bi d t ( hibit) ” skills to understand and make decisions based on the study of big data (exhibit).”
Graduates with Business Analytics
Specialization can potentially fulfill this potentially fulfill this
global opportunity
New McKinsey
Gl b l I tit t R t Global Institute Report May 2011
Broad Range of Skills Categories
Domain strategy skills to develop the right questions, determine which data is important Data experts to manipulate and integrate big
data
Mathematical and operations research to develop analytics algorithms
Executive and management skills to know when and how to use data for making decisions
Visualization skills to interpret data and present in meaningful ways Tool developers to mask the complexity of
Analytics Course Roll-Out
y
Analytics Course Roll-Out
y
Business Analytics Specialization Track
y
p
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 decision-makingg
Highlights compliance to corporate code of ethics, policies, best practices, standards governing confidentiality and non disclosure agreement
Business Analytics Specialization Track
y
p
Fundamentals of Business Analytics
Fundamentals of Data Warehousingu da e ta s o ata a e ous g
Fundamentals of Descriptive Analytics
Fundamentals of Predictive Analytics
Fundamentals of Prescriptive Analytics
Fundamentals of Prescriptive Analytics
Learning Outcomes
g
Define business requirements
Tailor data architecture
Describe where to look for data in an organization and create required reportsDescribe 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 t k li bl b i d i i
to make reliable business decisions
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
Learning Outcomes
g
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 ti i ti
optimization
Convey results of data analysis to organizational stakeholders at various levels
Perform high-quality task required by the organization in particular, and the g q y q y g p , industry in general
Bottomline…
Identify opportunities for the different types of analytics
Descriptive Analyticsesc pt e a yt cs
Predictive Analytics
Fundamentals of Business Analytics
y
Provides an overview of each type of analytics
Enables students to identify opportunities for analytics given a scenario through multiple case studies
Fundamentals of Data Warehousing
g
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 t b id th l b t b i d IT l
Fundamentals of Data Warehousing
g
Not technical
Meant for managers who can charter changes in the future
Fundamentals of Descriptive Analytics
p
y
Teaches students to prepare reports using descriptive analytics tools
Provides case studies from (Richards & Mindel, 2013) to enable students to learn report authoringg
Teaches students to use IBM Cognos Report Studio
Presents an opportunity to get an IBM Cognos Report Studio Advanced Report Authoring Certification
Fundamentals of Predictive Analytics
y
Introduces students to different techniques used to build predictive models
Requires students to build and evaluate their own predictive models
Fundamentals of Prescriptive Analytics
p
y
Reviews operations research techniques previously discussed
Presents operations research techniques not yet previously discussed
Internship
p
Aims to prepare students for their eventual jobs and careers in business analytics
Implementation
p
Commission on Higher Education (CHED)
Technical Panel for Business and Management Education
CHED Memorandum Order
Orientation
Training
Commission on Higher Education and IBM
Commission on Higher Education and IBM
Fundamentals of Analytics Training
y
g
Business Analytics Society of Educators (BASE) -
y
y
(
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Philippines