Data Analytics and Decision Making
Are you leveraging data to your competitive advantage?
Understanding and serving your customers better has become a key differentiator in today’s fast paced, digital world. Volatility and the need to adapt quickly to our dynamic commercial environment has meant that the need for fast, effective decision making is a critical component for organisations who wish to thrive in today’s world. To compete in today’s world company’s need to be data driven.
Data Analytics and Decision Making has been developed to equip executives with the ability to confidently analyse, evaluate, utilise and harness the value of their own data. Learn to leverage the power and potential in your organisation's data to understand, connect and serve your customers better.
Key Takeaways and Benefits
This impactful, two day programme will help managers better use data, understand what data analytics can achieve and what analytical results are revealing, and implement data-driven decision-making.
It will provide an overview of the data analytics methods, including descriptive analytics (“What happened?”), diagnostic analytics (“Why did this happen?”), predictive analytics (“What might happen in the future?”) and prescriptive analytics (“What should we do next?”). It provides an array of tools and approaches to help executives analyse data and make decisions.
Walk Away With The Skills To;
- Understand the data analytics process
- Collect, evaluate and use data effectively
- Conduct basic data analytics using Excel
- Understand the outputs of data analytics
- Utilise the results of data analytics for better decision-making
- Forge a data-driven focus in your organisation
The programme is ideal for small business owners and managers wishing to learn the basics of data analytics skills and walk away equipped with the ability and confidence to analyse data and make better decisions.
This programme benefits those from the science, technology, engineering and manufacturing sectors and managers from any industry who have regular experience working with data and wish to improve their data analytics skills. It incorporates exercises in prescriptive analytics such as excel and linear programming. Confidence in the use of excel is recommended.
Introduction to data analytics
This is an immersive 2 day programme delivered in-person.
|26/09/2024||09:30-16:30||Day 1||On Campus at Riddel Hall|
|27/09/2024||09:30-16:30||Day 2||On Campus at Riddel Hall|
What are past participants saying about this programme?
"As the Principal Telematics Engineer with Terex, the world leading manufacturer of Quarry Crushing, Screening and Recycling equipment I am responsible for the data which is fed back by our machinery from all over the globe. This data is processed and presented to our customers, dealers and internally within the organisation to ensure the equipment is being used as efficiently as possible and ensuring trouble free operation in harsh industrial environments. The Data Analysis and Decision Making programme run by Queen's University has helped give me insights how we can further process this data for current real time applications and predictive pattern recognition for future developments to help our goal to continually exceed our customers expectations." Paul Brennan, Principle Telematics Engineer, Terex GB Ltd
“I found the Data Analytics and Decision Making programme very informative. Professor Min Zhang was excellent and very good at breaking down the hard topics to make them understandable for everyone. The programme was well structured throughout and will be very useful to anyone wanting to implement different types of data analysis tools into their business” Curtis Chambers, Business Improvement Co-ordinator, Lakeland Dairies
“I’d highly recommend the Data Analytics and Decision Making course! The course provided a comprehensive introduction to the fundamentals of data analytics including everything from collecting and cleaning data through to applying analytical techniques. The second day focused on how we make decisions, unconscious biases and the models available to support decision making. The course has greatly improved my understanding and confidence in exploring data analytics.” Ellie Montgomery, Senior Business Analyst
Min Zhang is a Professor in Management at Queen’s Business School. Professor Zhang is highly regarded as a specialist in the areas of Data and Business Analytics, Operations Management, Supply Chain Management and Innovation Management. Min is particularly interested in university-industry collaborations and the transfer of academic research output to the benefit of the organisational environment and society. Min is passionate about adding value through innovation and empowering professionals to make informed knowledge based decision utilising measurable analytical tools. Professor Zhang leads our collaborative Intertrade Ireland Fusion programme. Min was previously a Research Fellow (Operations Management) at the University of Nottingham and Lecturer and Senior Lecturer in Operations Management at the University of East Anglia. He gained his Ph.D. in Operations Management from The Chinese University of Hong Kong and Bachelor and Master degree from Nankai University.
We have a range of package options to support your Senior Executive experience with executive coaching and mentoring. Please contact us directly to discuss your requirements. Please email: Sue.Burns@qub.ac.ukQUB Executive Coaching Brochure