The advent of omnichannel shopping is proving to be both a challenge and an opportunity for retailers. While on the one hand it opens up opportunities to target customers at every stage of the buying cycle and create personalised experiences, on the other, retailers are faced with the challenge of creating an integrated customer experience. This involves delivering a digital strategy that unifies the customer’s online and in-store personas.
Do you feel overwhelmed by the mountains of enterprise data from different sources and no respite in sight? Despite this information overload, does insight seem to elude you? This proliferation of data across multiple platforms and the need for faster insight has made the traditional ETL (Extract, Transform and Load) data process ineffective at handling and integrating voluminous unstructured and structured information.
Data plays a crucial role in enabling businesses to deliver on their digital transformation strategies. In fact, as evidenced in the recent Cambridge Analytica scandal, it can make or break a business. By capitalising on enterprise information, businesses can unlock value to reveal hidden customer behaviour patterns.
It seems like a Catch-22 situation where businesses need data to derive meaningful insight and improve decision-making. However, transforming business dynamics entails that enterprises access information in a variety of formats across numerous business systems. As a result, enterprises are still getting to grips with the data that is supposed to empower them.