Formerly known as “DGT003: Managing Business Performance With Business Analytics”
Programme Objective
Business Objectives, Performance KPIs, Benchmarks and Balanced Scorecards are useful tools for strategic planning, implementation, evaluation and achieving results for businesses. There is no shortage of management tools. In the VUCA (volatile, uncertain, complex and ambiguous) 21st century, big data is pervasive with the proliferation of social media, IoT, e-commerce, digital technology and Artificial Intelligence. Business Analytics (BA) focuses on developing new insights and understanding of business performance utilizing the data and statistical methods. Advanced business analytics leverage on these big data using AI and Machine Learning.
Executive Information System, Business Intelligence, data mining and data analytics have been employed to provide insights on revenues, customers, products and other factors for business decisions in the last two decades. Moving forward, how do organizations better leverage on these data for business analytics? How does business analytics lead to strategic and organizational performance? Can business afford not to understand and adopt data analytics today when the future depends on digital transformation for competitive advantage?
Learning Outcomes
Delegates will learn to understand conventional and advanced Business Analytics and why this is a critical success factor for businesses today moving into the 21st Century. They will appreciate the types of data analytics and statistical methods for descriptive, predictive, prescriptive and decisive insights in a business.
Programme Outline
- Understanding business analytics and its application to managing business performance.
- Review how businesses perform strategic and business planning, the best practice process adopted and various dimensions of business performance.
- Using real life case studies to appreciate, discuss and collectively learn how business analytics is used to manage business performance.
- Summary and a review of learning outcomes
Training Methodology
Lecture style with discussions and sharing of practical case studies and examples
Closing Date for Registration
1 week before programme or until full enrolment
Intended For
Senior Management, Directors and Managers with responsibility of various aspects of business performance requiring the need to understand core business data, analytics and decision making
Schedule & Fees
Testimonial
Funding
1] NTUC Union Training Assistance Programme (UTAP)
UTAP (Union Training Assistance Programme) is an individual skills upgrading account for NTUC members.
NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2022. *This excludes miscellaneous fees such as GST and registration fee etc.
This course is approved for UTAP support for intakes conducted between 01 April 2021 – 31 March 2022.
As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.
- Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
- Course by training provider must be supported under UTAP and training must commence within the supported period and;
- Unfunded course fee must not be fully sponsored by company or other types of funding
- Unfunded course fee must be S$20.00 and above, and;
- Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
- UTAP application must be made within 6 months after course ends.
To submit for UTAP claims, please visit http://skillsupgrade.ntuc.org.sg/. Terms and conditions apply.
Should you have queries on the funding scheme, you can email to UTAP@e2i.com.sg or call NTUC Membership Hotline at 6213-8008
Programme Facilitator(s)
Formerly known as “DGT003: Managing Business Performance With Business Analytics”
Programme Objective
Business Objectives, Performance KPIs, Benchmarks and Balanced Scorecards are useful tools for strategic planning, implementation, evaluation and achieving results for businesses. There is no shortage of management tools. In the VUCA (volatile, uncertain, complex and ambiguous) 21st century, big data is pervasive with the proliferation of social media, IoT, e-commerce, digital technology and Artificial Intelligence. Business Analytics (BA) focuses on developing new insights and understanding of business performance utilizing the data and statistical methods. Advanced business analytics leverage on these big data using AI and Machine Learning.
Executive Information System, Business Intelligence, data mining and data analytics have been employed to provide insights on revenues, customers, products and other factors for business decisions in the last two decades. Moving forward, how do organizations better leverage on these data for business analytics? How does business analytics lead to strategic and organizational performance? Can business afford not to understand and adopt data analytics today when the future depends on digital transformation for competitive advantage?
Learning Outcomes
Delegates will learn to understand conventional and advanced Business Analytics and why this is a critical success factor for businesses today moving into the 21st Century. They will appreciate the types of data analytics and statistical methods for descriptive, predictive, prescriptive and decisive insights in a business.
Programme Outline
- Understanding business analytics and its application to managing business performance.
- Review how businesses perform strategic and business planning, the best practice process adopted and various dimensions of business performance.
- Using real life case studies to appreciate, discuss and collectively learn how business analytics is used to manage business performance.
- Summary and a review of learning outcomes
Training Methodology
Lecture style with discussions and sharing of practical case studies and examples
Closing Date for Registration
1 week before programme or until full enrolment
Intended For
Senior Management, Directors and Managers with responsibility of various aspects of business performance requiring the need to understand core business data, analytics and decision making
Programme Facilitator(s)
