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How to optimise data lakes in financial services

How to optimise data lakes in financial services

Data lakes have emerged as a viable way to pool data and get a more detailed view of everything that is happening across the company. This has opened up many new opportunities for financial services firms. However, the way you design the architecture and implementation of a data lake can have a significant impact on the results. With many organisations running into issues during this process, it is key to identify the root causes. This white paper explores key data lake questions and proposes a number of ways to tackle the implementation challenges. It goes on to further examine different ways you can optimise the data lake to ensure it fulfils its desired function.

The Future of Finance: How AI Implementation can Transform the Financial Services Sector

The Future of Finance: How AI Implementation can Transform the Financial Services Sector

Today, AI and machine learning play a key role in many aspects of financial organisations, from the approval of loans to risk assessment and asset management. With input from industry experts, this article discusses the implementation of these tools and how they can be leveraged to differentiate from competitors and provide tangible ROI.

How Will Big Data Technologies Prevent The Loss of Millions in Financial Fraud?

How Will Big Data Technologies Prevent The Loss of Millions in Financial Fraud?

In 2017, banks and card companies successfully prevented £1.4 billion worth of unauthorised financial fraud, technological innovation in fraud prevention is beginning to realise tangible benefits for the sector.  This article explores the  latest industry insights into the development of big data security technologies in and how these developments can detect and remediate attacks in a complex IT environment. 

Are Financial Services Coping with Big Data?

Are Financial Services Coping with Big Data?

Possibly as a result of increasingly competitive customer experience efforts in other markets, customers now expect a more personalised service from their banks than ever before, and one with more assurances that they are getting the best deal. The recession has not only made the customer more cautious when it comes to investment – regulators have also taken on a more involved and stringent route approach to oversight. Financial Services are therefore relying more on the benefits of Big Data to help them move forward. But is the market coping? From resourcing to security, there is more than enough to be concerned about...

Disclaimer: All views expressed in this article are those of the individuals cited and do not necessarily reflect those of Barclays, USB, or any other organisation.

Barclays' Secrets to Create a Risk Aware Culture

Barclays' Secrets to Create a Risk Aware Culture

Vinita Ramtri, Head of Conduct Risk at Barclays Wealth and Investment Management, reveals how the Bank is developing and embedding its conduct risk aware culture. Vinita addresses the challenges and provides her top tips in managing conduct risk. You will also get a glimpse into two of Barclays’ latest Big Data initiatives, which are helping to assist its customers through new innovative analytics, insights and services.