The sheer scale and volume of the data collected by organisations today creates quite serious challenges to their ambitions to become data centric.
“High standards of data governance are essential for data-centric organisations. Policies must be put in place to manage the availability, integrity and security of data as well as to control its usage. It is also vitally important to ensure that data doesn’t get misused and that all legal and regulatory requirements governing its use are complied with,” says Neha Neha, EY Ireland Data and Analytics Senior Manager.
The cloud offers the capacity and tools to overcome the challenges. Public cloud services can scale almost infinitely to match growth in data volumes while they also offer the platform and modern tools to collect and collate data from different sources and provide the technological foundation to become data centric. While data centricity can be achieved without a cloud foundation, it is not advisable.
Connecting siloed data is a major challenge for digital transformation, but integrating systems is of a higher order of magnitude still. Connecting different functional systems to deliver an end-to-end experience can be a highly complex and expensive undertaking.
Ordering a product online requires a digital store that can connect the ordering system at the front end to stock management systems, payment systems, and fulfilment systems at the back end. There can be at least four or five different system actors in what appears from an end user perspective a very simple process.
The cloud can help overcome the complexity and mitigate the risks associated with systems integration. As cloud platforms continue to evolve and provide new and innovative ways to connect different systems, they are moving more towards system composition rather than systems integration making the whole process much simpler, more efficient, and less costly. But organisations must still pay attention to the risks associated with it.