Media Centre

Download the Agenda

Big Data & Analytics Financial Services - 4th-5th July, 2018 London. Download the brochure to discover the key topics of the conference: Leverage AI and Machine Learning: Hear how HSBC, ING, Lloyds, Towergate, AXA, Prudential, Credit Suisse and Covea are e ...

Featured Download

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 s ...

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 ...

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 ...

Survey Report 2018: Big Data Analytics for Financial Services

This exclusive industry survey report includes feedback from over 50 relevant individuals in the financial services industry. It explores the key drivers for developing a data-driven strategies, the need for data-driven development, the industry’s preparedness for the upcoming GDPR and the regul ...

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 ca ...

Customer Analytics with Barclays

At last year's conference, Payal Jain & Di Black from Barclays walked our audience through the process of using customer analytics for an array of benefits, from saving costs to doing what's right for the customer and saving time. Filled with statistics and graphs, this presentation will help ...

Improving Sales and Retention Using Innovation in Targeting and Big Data Analytics

Shlomi Cohen, Head of Analytical CRM at Bank Hapoalim, spoke at last year's Big Data for Financial Services summit about using customer analytics to improve revenue and numbers. He showed our audience the benefits and methods of automated predictive analytics, and he put everything in this compre ...

Market Report: Big Data & Analytics for Financial Services - Trends, Challenges and Priorities

This report, produced by Data Analytics IQ, surveyed over 100 professionals in the financial services industry in order to gauge the latest trends and activity when it comes to implementing big data programmes – including the specific strategies and techno ...

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’ ...

Big Data Benchmarking Report 2016: PEX Network

Various sources of information are providing companies access to unprecedented amounts of data, whether they come from management systems, customer data, customer feedback, market data, or social media. While Big Data offers the promise of unprecedented insight into business operations and custom ...

Big Data In Financial Services: Trend Analysis

In comparison to last year’s results in our research report – a higher level of big data programmes seem to be in production. However, the vast majority of our research respondents remain at the start of their big data journeys with 43% in experimental phases and 30% on their first proof of concept ...