So, marketing leaders, you have a new data scientist on your team? First of all, congratulations! Data scientists are rare and expensive, which means hiring one is a true feat for most marketing leaders. Not to mention, you’ve unlocked a host of new possibilities. Leveraging predictive? Making use of AI?
AI and machine learning are touted as a way to generate value from the troves of data organisations have stockpiled. Proponents of the emerging technology argue the benefits can flow almost immediately, especially in industries like financial services. However, there is a problem and it is particularly prevalent in Australia.
It is a challenging time to be a marketer. Consumers demand more personalised experiences than ever, and for marketers it feels like the customer’s expectations just keep on rising. In such a complex business environment a sophisticated approach to data is the key to success. Download: The Data Driven CMO
The past decade has seen some significant shifts in the way talent is perceived, managed and remunerated in the analytics profession. From back-room quants with sensible shoes to the ‘data science’ darlings of the media sector, analysts have seen a stellar rise in professional cachet. The annual IAPA Skills and