What do the likes of Amazon and Netflix do so well that most companies don’t?
While they provide an incredible service, their judicious use of data analytics technology, like recommendation engines, has set them apart from their competitors.
Recommendation engines have allowed these businesses to provide incredible value to their customers and maximise their retention rate while expanding their userbase.
How do these recommendation engines work? Can you create one to meet your own business objectives? That is what we are going to address in this first part of our webinar series - The secret behind recommendation engines
During this session, you will learn:
- What is a recommendation engine
- How to create a basic system using Business Analytics (SAS BA)
Agenda
Introduction with Michael Dixon, Managing Director
Demonstration of building a simple recommendation system using Selerity BA with Kaylene Dixon, Co-Founder
Q&A
Presenters
Michael Dixon
Managing Director
Michael is a seasoned SAS Professional, having spent the past 20+ years helping customers make the most out of their SAS investments.
Kaylene Dixon
Co-Founder
As co-founder of Selerity, Kaylene is responsible for ensuring that the team is able to deliver optimal results to clients both in Australia and around the world. Her experience and exposure to many analytics and SAS environments has provided her with unique insights into many industries.