Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges:
Data sprawl: Your customer data is currently on multiple clouds, including on-premises and a cloud data lake storage
Data transformation doesn’t have to mean moving data away from its source. Rather, modern approaches to data transformation offer a range of advantages that can help enhance performance while heightening access to data.
Advanced predictive analytics requires data preparation strategies that can transform the data, enriching it to make it suitable for processing. Indeed, your choice of data preparation strategy can help you boost the accuracy of the outcomes you achieve.