3 Instant Benefits of a Data Fabric Architecture
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Integrate and engage all your organisation’s data for better business outcomes.
Data is an integral element of digital transformation for enterprises. But as organisations seek to leverage their data, they encounter challenges resulting from diverse data sources, types, structures, environments and platforms. This multidimensional data predicament is further complicated when organisations adopt hybrid and multicloud architectures. For many enterprises today, operational data has largely remained siloed and hidden, leading to an enormous amount of dark data.
Take the example of a North American energy company that sought to reinvent themselves as a data-driven organisation—to become a company where data science capabilities were readily accessible across multiple business units. They soon realised that their digital transformation was hampered by siloed data, inconsistent tools, and various skill levels, all of which caused critical gaps between data competencies.
The problem they faced was not unique to their business; in fact it is a common consequence of data landscapes that have outgrown their data management architectures.
What ultimately brought the energy company back onto a successful path for digital transformation was the employment of a new data architecture concept known as data fabric.
What is a data fabric? How does it differ from previous architectures? What can it achieve for businesses, and what is IBM’s role in implementing it? This whitepaper will answer those questions.