Swimming in Data: Data Lakes in Banking

Create a vendor selection project & run comparison reports
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
15 June 2019
Joan McGowan, Craig Beattie, Nicolas Michellod, and Zao Wu

Data lakes are back on the CIO’s agenda. Banks are revisiting the benefits of deriving insights from a wider variety of data to deliver greater insights.

Key research questions

  • Why do banks need a data lake?
  • What are the potential applications of data lakes?
  • What does a bank need to take into consideration to get started with a data lake?


As banks continue to digitize their product and service offerings, they are exposed to the increasing potential value of data as an asset.

But to unearth that potential, banks must modernize their data management platforms so that they can layer enabling technologies such as analytics-driven AI.

Subscription required

Access to this content requires a Celent research subscription.

Subscribers should sign in to access this research.

If you are not a subscriber, register now or contact us to find out more about our subscription options.

sign in or sign up to read more

Insight details

Corporate Banking, Retail Banking
Subscription(s) required to access this Insight:
Banking, >>Retail & Business Banking, >>Corporate Banking
Insight Format
Geographic Focus
Asia-Pacific, EMEA, LATAM, North America