Page tree
Skip to end of metadata
Go to start of metadata

Check out our list of courses available to learn more about data analytics 

Wondering how you can kick start your data analytics journey? Check out relevant videos that you can take up to gain more knowledge on data analytics! 

You may access short eprimer content on the following data-related topics.

Check out user guides that can kick start your data analytics journey 

Have you heard of STB's Singapore Tourism Analytics Network (Stan) and are not sure how you can start utilising it?

Understanding Artificial Intelligence

Artificial Intelligence is becoming mainstream and common in our daily lives. In fact, businesses have been interacting with Artificial Intelligence on a daily basis with business processes being disrupted. As the adoption of Artificial Intelligence grow, it is important that businesses start learning how Artificial Intelligence can be utilised to maintain a competitive edge.

What is Data Science? 

Data science is a field of study that combines programming skills, and knowledge of mathematics and statistics to uncover business insights from data. Understand the key components of data science and how it can be incorporated as part of a business strategy.


Becoming a Data-Driven Organisation

With the advancement of technology and the ability to access large volumes of data, decision making using data is becoming a matter of survival factor for almost all businesses. Acquire knowledge on how you can transform, nurture a culture to embrace data and become a data driven organisation.

Casugol_Data driven customer service.mp4


Data-Driven Customer Experience

In the ever competitive business world where customers are growingly demanding for personalized products and services, businesses that thrive are one that develop a deep understanding of their customers. A data-driven customer experience is to uncover insights from data and take these insights into consideration servicing a customer. Here are some tips on how a design Data Driven Customer Experience strategy.



Introduction to Data Analytics and its Impact on Business

Data is everywhere and is the key asset to drive the new economy. Application of data analytics helps businesses to identify new opportunities, understand customer behaviour, gain competitive advantage, and be more agile in a digitally disruptive environment. It is crucial for businesses to learn how to apply data analytics to move forward with digital transformation.



Data Strategies for a Successful Digital Transformation

To standout and gain competitive edge, companies need to harness the power of data. Besides setting a vision on how companies collect, store, manage, share and use data, a data strategy sets the foundation and acts as a roadmap to guide companies to unlock and maximise the value of data activities. Learn how to develop strategies to embark on a successful digital transformation journey.


New to the Singapore Tourism Analytics Network (Stan)?

Download the Stan Public App User Guide to begin your journey now!

(PDF, 814KB)

New to the Singapore Tourism Analytics Network (Stan)?

Download the Stan Post-Login User Guide to begin your journey now!

(PDF, 2.99MB)

New to the Singapore Tourism Analytics Network (Stan)?

Download the Stan Hotel Performance User Guide to begin your journey now!

(PDF, 1.16MB)

New to the Singapore Tourism Analytics Network (Stan)?

Download the Tourism Transformation Index Assessment on Stan User Guide to begin your journey now!

(PDF, 1.48MB)

New to the Singapore Tourism Analytics Network (Stan)?

Download the Stan Private Space User Guide to begin your journey now!

(PDF, 1.30MB)

New to the Singapore Tourism Analytics Network (Stan)?

Download the Stan Visitor Arrivals Dashboard and Model as a Service User Guide to begin your journey now!

(PDF, 1.24MB)

STB Data Governance and Quality Playbook

Download the Data Governance and Quality Playbook to begin your journey now!

(PDF, 397KB)

Download the Data Governance and Quality Playbook Annex to begin your journey now!

(Excel, 46KB)



  • No labels