Whitepaper: Modernising data architectures for a digital age using data virtualisation
Organisations have started data architecture modernisation projects because they realise that by using date more effectively, they can optimise business and decision-making processes.
Countless organisations have started data architecture modernisation projects. These projects are initiated because they understand the increasing business value of data. By using it more effectively, more widely and more deeply, they can improve and optimise business processes and decision-making processes. It is regarded as a requirement in order to stay competitive, cost-effective and efficient. In essence, organisations want, and need, to become more data-driven in order to effectively participate in the emerging digital economy.
They understand the potential business value of data, but equally, they understand that the architecture of the existing data delivery systems, such as the data warehouse (and to some extent, their data lakes), is not sufficient. These systems that rely on physical data movement and redundant data storage do not always have the right performance, scalability and functionality. In order to future-proof data architectures for the next evolution of analytics, their current systems need to be modernised.