Real-World Impact: Operational Research and Data Science in Action

Data has power, but only when it leads to decisions that make a difference. Across sectors, the partnership between Operational Research (OR) and Data Science (DS) is turning complex challenges into smarter, faster, and fairer outcomes.

By combining DS’s ability to reveal insights with OR’s strength in modelling and optimisation, organisations can move beyond analysis to create tangible, measurable impact. Whether improving hospital care, managing transport networks, or tackling climate change, OR and DS together are helping people make better decisions that benefit business and society alike.

How OR and Data Science work together

Examples of how OR and DS work together:

Healthcare: Improving NHS Patient Flow

Challenge:
Hospitals across the NHS faced overcrowding and delays in patient admissions, creating pressure on staff and resources.

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Transport: London Underground Demand Modelling

Challenge:
Transport for London (TfL) needed to manage increasing passenger demand while maintaining reliable service across a complex underground network.

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Retail & Supply Chain: Amazon’s Global Inventory Optimisation

Challenge:
Amazon needed to deliver millions of products quickly while minimising storage and transport costs.

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Sustainability: Balancing Renewable Energy Supply and Demand

Challenge:
Energy providers must balance unpredictable renewable energy generation with fluctuating consumer demand, a growing challenge in the shift to net-zero.

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Manufacturing: Optimising Production for Siemens

Challenge:
Siemens needed to reduce production downtime and increase efficiency across multiple manufacturing sites worldwide.

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Aviation: Streamlining Airline Scheduling

Challenge:
A major European airline struggled with flight delays caused by weather disruptions and complex crew scheduling.

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Finance: Credit Risk Modelling in Banking

Challenge:
A leading retail bank needed to strengthen its credit risk management and decision-making while ensuring compliance with new regulations.

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Public Services: Emergency Response Planning

Challenge:
Emergency services needed to optimise the placement of ambulances and response teams across a large metropolitan area.

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Education: Improving Student Outcomes with Predictive Modelling

Challenge:
Universities wanted to identify students at risk of dropping out and provide timely support.

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Across manufacturing, finance, healthcare, and beyond, these stories share one truth: Data Science explains, Operational Research decides.

Together, they close the loop between insight and impact, helping people and organisations make better, fairer, and faster decisions.

That’s the mission of Data Science Connects: to bring together professionals who want to make data truly matter.

Business case studies

Business case studies

Browse our real-world case studies which demonstrate how OR can reduce costs, increase efficiency and help you do what you do, but better.

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OR in real world situations

OR in real world situations

Through a collection of meticulously detailed case studies, we showcase how businesses across various industries have harnessed the principles of OR to optimise their operations, streamline processes, and achieve remarkable efficiency.

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Up & Coming Courses

Up & Coming Courses

View our training calendar to find the course that best suits you and learn from experienced Operational Research professionals. Sign-up now!

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