Hotel Industry
How does a hotel booking platform test whether advertising on its website works?
EXECUTIVE EDUCATION
EXECUTIVE EDUCATION
June 30, 2021
3 months, online
4–6 hours per week
Special pricing up to 20% discount is available if you enrol with your colleagues. Please send an email to [email protected] for more information.
This programme is designed for managers across different functions who are interested in implementing analytics projects at their organisation, and provides them with the techniques needed to transform their organisation into one that is driven by data. The assignments and cases in the programme focus on interpreting the results of analysis and taking decisions based on them. The programme will also include demonstration of some advanced analytics tools such as TensorFlow. The programme does not require coding.
Learn how to identify the types of biases in a decision-making process and ask for the right information.
Discover how to collect, clean and describe the data you have, including summary statistics.
Identify what big data means to you and what you can do with it while learning the four Vs of big data—volume, variety, velocity and veracity.
Understand the gold standard for making experimentation work, design experiments to gather meaningful data and make data-driven decisions.
Master how to use machine learning tools/models, identify neural networks and analyse data to optimise decisions for your business.
Learn about the applications and predictive capabilities of neural networks and explore how to choose the network architecture.
Understand what prescriptive analytics is and learn how to connect predictive analytics to a business objective.
Learn more about prescriptive analytics by understanding risk aversion, sunk cost fallacy, diversification, decision-making processes and debiasing.
Identify organisational issues that you will need to consider when making decisions along with the legal and ethical issues behind gathering, storing and using data.
Learn how to identify the types of biases in a decision-making process and ask for the right information.
Learn about the applications and predictive capabilities of neural networks and explore how to choose the network architecture.
Discover how to collect, clean and describe the data you have, including summary statistics.
Understand what prescriptive analytics is and learn how to connect predictive analytics to a business objective.
Identify what big data means to you and what you can do with it while learning the four Vs of big data—volume, variety, velocity and veracity.
Learn more about prescriptive analytics by understanding risk aversion, sunk cost fallacy, diversification, decision-making processes and debiasing.
Understand the gold standard for making experimentation work, design experiments to gather meaningful data and make data-driven decisions.
Identify organisational issues that you will need to consider when making decisions along with the legal and ethical issues behind gathering, storing and using data.
Master how to use machine learning tools/models, identify neural networks and analyse data to optimise decisions for your business.
How does a hotel booking platform test whether advertising on its website works?
How did Netflix use a competition to improve its search and recommendation algorithms?
How can you use neural networks to train computers to replicate the styles of different artists?
How many fashion watches should London Time order before the selling season begins?
How does the company decide which two of the four promising drugs can be developed further?
How did UPS's ORION initiative allow the company to save an estimated $300 to $400 million and lead to a reduction of 100 million miles driven?
How did Google use data to see whether managers matter?
Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
How does a car racing team decide whether to participate in a race or not?
How does SmartService use a decision tree to calculate their bid for a new contract?
What should TalkTalk have done differently after they were hacked? How should they have protected their customers’ data?
Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Dr Nektarios (Aris) Oraiopoulos
Dr David Stillwell
Dr Nektarios (Aris) Oraiopoulos
University Lecturer in Operations Management, Director of the MPhil in Strategy, Marketing & Operations Programme
Dr Oraiopoulos earned his PhD from the Georgia Institute of Technology. His research is focused on understanding how organisations make high-stakes decisions, such as whether to invest in a new project, when to terminate a project that is not performing well, what data they can leverage to become more innovative and what organisational structures they should put in place to empower a sound decision-making process. He has worked with organisations across various industries and sectors, including AstraZeneca, British Telecom, HSBC, Johnson & Johnson and the Abu Dhabi police force.
Dr David Stillwell
Reader in Computational Social Science; Academic Director of The Psychometrics Centre, Cambridge Judge Business School
Dr Stillwell studies the links between big data and psychology—in his research with 6 million social media users, he found that the computer can predict a user’s personality as accurately as a spouse can, and in his follow-up study, he found that personalizing an advertisement to the recipient’s psychology is more effective than using generic ads. He has presented at workshops sponsored by the European Parliament's Science and Technology Options Assessment Panel and the European Data Protection Supervisor. Worldwide, many government data protection regulators have cited his research.
In addition, he has published research using various big data sources to show that spending money on products and services that match one’s personality leads to greater life satisfaction. In another study, he demonstrated that people tend to date others who have a similar personality and that people who swear seem to be more honest. David is currently pursuing research with companies’ internal data for people analytics.
Upon successful completion of the programme, participants will be awarded a digital certificate of completion by Cambridge Judge Business School Executive Education.
Please note that this programme can be incorporated into the completion of the Cambridge General Management Certificate of Achievement (GMCA). It will be credited as an "in-person" two-day programme for the purpose of meeting the GMCA requirements. If you require more details on the GMCA and wish to speak to our advisors, please contact [email protected].
Download BrochureNote: After successful completion of the online programme, your verified digital certificate will be emailed to you in the name you used when registering for the programme. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Cambridge Judge Business School.
Flexible payment options available.