A Finextra Research Impact Study in Association with Collibra and Amazon Web Services (AWS).

In today's environment, data is produced and consumed at a rapid pace. However, the way it is currently being stored, accessed, and processed is inefficient. Migration to the cloud promises to change this reality for financial institutions, but there are several obstacles tied to digital transformation that must be addressed in the process.

The exponential increase in data generation is set to continue in the coming years, especially as the adoption of mobile technology rises.

The risk and opportunity introduced by big data to the financial services industry are unparalleled. As the most data-intensive sector in the global economy, the ability of financial institutions to obtain, process, and analyse their complex data assets – structured or unstructured – is becoming fundamental to market success and remaining competitive. Moving data to the cloud with a partner such as Collibra establishes a governance foundation for banks as ungoverned data lakes can quickly become data swamps.

Data intelligence vendors can provide a platform that helps banks gain a unified view of data assets to unlock their true value. These technology companies can help improve trust in data to strengthen analytics and hasten time to insight through machine learning powered features such as automatic data classification, guided stewardship, and auto-discovery functions.

Cloud migration and services such as those offered by Amazon Web Services (AWS) should be at the centre of banks’ digital transformation, but challenges around lack of executive alignment, technical skillsets, and data lake experience must be overcome in order to become masters of their data. 

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