Overview
The hospitality industry is a customer-centric business that accumulates huge amounts of customer data from different systems. Big data and data analytics can play an important role in this industry as they can help managers enhance guest experiences with marketing strategies, improve business operations, increase customer retention and loyalty, and ultimately increase occupancy rates and yield.
This 2-day workshop for hospitality professionals provides an introduction to big data and data analytics through a combination of seminars and hands-on sessions using free tools available. It aims to equip participants with the knowledge of how data is transformed into insights, and how the various analytic tools can be used to convert data into knowledge that will better help manage their business.
What You’ll Learn
| Topics |
Objectives |
| The basics of Data Analytics; Analytical approaches in Hospitality |
To understand how Data Analytics is applied to the hospitality business |
| Data Management, collection, transformation, cleansing, and analysis |
To handle and manipulate multiple datasets |
| Essential Design Principles for Data Visualisation |
Ability to choose appropriate visual representation given particular context and distinguish between effective and ineffective visuals |
| Areas of practical application of Data Analytics such as marketing and revenue management. |
Able to use contemporary business analytics in the market for visual and text analytics |
Who Should Attend
Hospitality Business Analysts and Revenue Managers
SITizens Learning Credits (SLC) - Eligible Course
SIT Alumni: Before registering for courses, please activate your
SITizens Learning Credits via the email sent by SIT Alumni Team, on behalf of SITLEARN Professional Development.
CLICK HERE TO APPLY (only for SIT Alumni)
Certificate and Assessment
A Certificate of Participation will be issued to participants who:
- Attend at least 75% of the workshop
- Undertake non-credit bearing assessment during the workshop
Schedule
| Day 1 Topic |
| Overview of Data Analytics |
|
a. Data Analytics 101, What is it and how does it work?
|
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b. Analytical Approaches
|
|
c. Sharing Session by participants regarding business problems that could be solved by data analytics
|
| Data Management, Collection, Transformation, Cleansing and Analysis |
|
a. Data Management, Objectives
|
|
b. Data Collection
|
|
c. Data Cleansing and Transformation
|
|
d. Data Analysis
|
Day 2 Topic |
| Essential Design Principles for Data Visualisation |
|
a. The Human Brain and Data Visualisation
|
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b. Data Visualisation and Storytelling
|
| Application of Data Analytics in the Hospitality Business, such as Marketing and Revenue Management |
|
a. Text Analytics in Practice
|
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b. RM Forecasting and Reports in Practice
|
Fees
| Category |
Full Fee |
After SF Funding |
After SF Mid-Career
Enhanced Subsidy |
Singapore Citizen (Below 40) /
Singapore PR |
$1,498.00 |
$449.40 |
Not Eligible |
| Singapore Citizen (40 & above) |
$1,498.00 |
$449.40 |
$169.40 |
| Non-Singaporeans |
$1,498.00 |
Not Eligible |
Not Eligible |
Note:
- Fees listed are pending Skills Future Funding approval.
- All figures include GST. GST applies to individuals and Singapore-registered companies.
- You can opt for either SkillsFuture Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.
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Learn more about funding types available
Terms & Conditions:
SkillsFuture Funding
To be eligible for the 70% training grant awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen or Singapore Permanent Resident
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SkillsFuture Mid-Career Enhanced Subsidy
To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen
- Be at least 40 years old
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.
SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.
