Business Analytics and AI: Decision-Making Using Data
Key takeaways
Over eight weeks, the online Business Analytics and AI: Decision-Making Using Data programme will help you:
Identify the correct data to scope and improve decision-making in your organisation
Identify the uses, benefits and drawbacks of big data
Design experiments to answer questions about assessing different opportunities in an organisation
Leverage machine learning to create value in your organisation
Recognise causal analytics that will help link actions to the desired outcomes
Utilise generative AI as your business assistant
Understand key legal and ethical concepts that apply to organisations’ use of data and AI
Identify common organisational barriers that prevent the implementation of AI for data-driven decision-making
Who is this programme for?
This programme will benefit senior business leaders and managers across industries, geographic regions and functions. It is ideal for:
C-suite executives and senior leaders keen on leveraging data to make strategic decisions in highly competitive business environments while staying ahead of technological advancements.
Managers seeking practical frameworks to translate data insights into actionable business improvements and operational efficiencies.
Business analysts and consultants aspiring to understand the strategic applications of data to improve their ability to guide stakeholders in data-driven decisions.
Leaders looking to integrate data-driven decision-making into their work.
Professionals in charge of implementing data solutions keen on enhancing their business acumen and accelerating their careers.
Note: This programme does not require technical expertise or prerequisites for completion.
What you will learn
The curriculum leverages three fundamental elements to help you translate the revolutionary power of AI and data into business-level impact:
People-centric solutions and approaches for fostering a data-driven culture that champions experimentation and for navigating the complexities of applying business analytics in an organisation
Unique strategies to leverage AI and analytics tools for insight-driven decision-making and improved business outcomes
Fresh ideas and emerging technologies paired with actionable strategies to gain support for the implementation of AI for data-informed decisions
Programme curriculum
Live sessions
Gain deeper insights into emerging topics through live online sessions hosted by Professors Nektarios (Aris) Oraiopoulos and David Stillwell. These sessions will also be recorded and made available for viewing at your convenience.*
Big data news
Experimental design: assignment debrief
Navigating modern challenges in AI and data
Ethical data: lessons from Cambridge Analytica
Making it happen: assignment debrief
*Note: live online sessions mentioned here are subject to change.
Case studies and industry examples
The programme features a blend of real-world case studies and industry examples that, in conjunction with other activities and resources, help you gain a practical understanding of business analytics applications.
Apollo Therapeutics
Examine how the biopharmaceutical company streamlined decision-making and improved the efficiency of drug discovery and development in a highly uncertain environment.
Amazon
Discover how the ecommerce giant addressed the challenges of managing rapid growth and maintaining innovation by restructuring its teams and decision-making processes.
DBS
Explore how the banking major leveraged data-driven decision-making and a culture of experimentation to drive its digital transformation and enhance customer experience.
Uber
Analyse how the ride-sharing app used data and experimentation to understand the impact of late trips on customer spending and develop effective strategies for regaining customer satisfaction.
Netflix
Understand how the streaming giant used its competition to improve its search and recommendation algorithms.
Air Canada
Learn how the airline addressed the challenges of using chatbots for customer service, especially in ensuring the accuracy of information provided to customers in critical situations.
Roche Pharma
Learn how data science teams in the pharmaceuticals major aligned real-world evidence projects with key metrics, including revenue, cost, speed and success probability, to impact decision-making.
DeepSea AI
Discover how DeepSea AI redesigned its proof of value process to address customer reluctance and successfully target specific profiles.
AstraZeneca
Understand how AstraZeneca’s digital health strategy, through its Evinova division, optimised its oncology clinical trials.
How you will learn
Scenario-based learning
Apply core concepts to evaluate the uses, challenges and considerations of business analytics in your organisation.
Self-study activities
Test your knowledge of programme concepts and their real-world applications through assignments and knowledge checks.
Workbook exercises
Apply programme concepts to real-world scenarios through workbook-based exercises that are integrated into each module.
Case studies
Analyse a broad range of real-world examples, and gain a practical understanding of business analytics applications.
Discussions
Enhance learning as you share your experiences with peers and exchange key takeaways from lectures and guest interviews.
Live sessions
Gain deeper insights into emerging topics through live sessions with leading Cambridge faculty.
Business Analytics and AI with Cambridge Judge Business School Executive Education
Drawing on the expertise of leading Cambridge faculty, the Business Analytics and AI: Decision-Making Using Data programme imparts innovative, people-centric approaches. It focuses on leveraging emerging technologies and analytics to inspire a culture of innovation and drive exceptional business results and growth. Ranked among the top business schools in Europe, Cambridge Judge Business School has established itself as a centre of rigorous, high-impact thinking and transformative education and will help you secure the knowledge and skills to lead, manage and elevate innovation for the future.
Faculty
Professor of Operations and Technology Management
Nektarios (Aris) Oraiopoulos’s research is focused on understanding how organisations make high-stakes decisions, including whether to invest in a new project, when to termina...
Professor of Computational Social Science
David Stillwell’s work impacts a wide range of applications, from targeted online advertising, psychometric adaptive test development and ipsative techniques in test design to...
Guest speaker
Senior Director, Digital Health Strategy, Oncology Therapeutic Area at Evinova, AstraZeneca
Luis Garcia-Gancedo is a digital health leader who is passionate about applying technology to improve healthcare. His research is focused on the development of novel miniaturi...
Certificate
Upon successful completion of the programme, participants will be awarded a digital certificate of completion from 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 advisers, please contact executive.education@jbs.cam.ac.uk.
Note: 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 Executive Education.
FAQs
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 203 479 4043 (UK) / +1 315 819 0707 (US) / +65 3163 8580 (SG)
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options available.
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