Business intelligence and predictive analytics are often used interchangeably to describe tools and methods for utilising data to make informed decisions. And in this digital age, using so many tools and techniques can be confusing. Read on for an explanation of the major differences between business intelligence and predictive analytics so that you can choose the right approach for your business needs.
If 2020 taught us anything, it's that businesses must be able to adapt quickly, efficiently, and smartly - and that customers still expect seamless, omnichannel experiences even during the most chaotic and uncertain times.
It’s an important part of doing business, but something that can be difficult to execute with excellence: debt recovery and collections. The heightened emotions, tension and uncomfortable conversations it brings – and the dissatisfaction that can result among customers and associates alike – causes some to shy away from this important topic.
There’s no denying the vital role contact centres play in brands’ ability to meet customer needs quickly and efficiently. When done well, centres offer seamless experiences by connecting customers with the information they need – whether it's via an agent or through automated technology – when and how they need it.
Every brand wants to offer great customer experience (CX) but, in an increasingly digital world, leaders too often assume technology alone is the key to true transformation. While technology plays a critical role, it’s striking the right balance between human experience (HX) and digital experience (DX) that will yield optimal customer journeys.
After a year unlike any other, students are preparing to return to campuses across Australia later this year, and many of them will be arriving from other countries – bringing many questions with them.