The first batch of scholars of the Business Analytics for Information Technology-Business Process Management (IT-BPM) ICT Training Program of the Department of Information and Communications Technology (DICT), the University of the Philippines-National Engineering Center (UP NEC), and the IT and Business Process Association (IBPAP) graduated last Thursday, August 2.
The training is part of digitalPH initiative of the DICT designed to help improve the qualifications of the local talent pool. The training program is the fruition of government, industry, and academe working together to the IT-BPM workforce with the right skills and competencies to handle Business Analytics.
“This Business Analytics training is one of government’s support programs to the IT-BPM industry, giving opportunities to our existing workforce to expand, upskill, and develop their talents as we prepare them for the 4th Industrial Revolution. It represents the DICT’s commitment to the IT-BPM Roadmap through the creation of high-quality capacity-building programs,” explained Usec. Monchito B. Ibrahim, who heads the Regional Operations and Countryside and ICT Industry Development of the DICT.
One of the High Impact Programs of the IT-BPM Roadmap 2022 is to upskill existing manpower in specialized competency areas.
“The IT-BPM industry appreciates government’s efforts in sustaining the requirements of the IT-BPO industry for appropriate skills and talent that can answer our needs through the provision of capacity-building interventions, with such training, we enable our workforce to acquire the necessary skills,” says IBPAP President and CEO Mr. Rey E. Untal.
The 22 graduating scholars underwent a nine-week training course, completed five modules that cover topics identified by the Commission on Higher Education (CHEd). The training was given by professors from UP and industry experts with experience in data mining, business intelligence, operations research, statistical engineering, and supply chain management among others.
The training curriculum includes fundamentals, concepts, business and technical architecture and best practices relating to Business Analytics, as well as the tools, data management, techniques, industry applications, and future directions of business analytics and data mining. It also teaches them the appropriate data mining and machine learning tools needed to solve industry problems, and interpret the results correctly.
The graduates learned to analyze massive amounts of data, produce dashboards, generate summary reports, identify hidden information or patterns needed for managerial decision support; and analyze trends and systems based on the data collected.