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This is for discussion and sharing of views on trends, practices and views in analytics in banking and financial industry
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Steve Morgan Banking Industry Market Lead at Pegasystems
Of all institutions, banks are at the forefront of sensing and encouraging the financial resiliency of their customers. They have clear insights into the state of an individual’s financial balance, spending and debt situation. This is especially valuable as customers’ finances are put under unusual strain through no fault of their own. Financial r...
07 October 2021 /inclusion /covid-19
Abhinav Paliwal CEO at PayNet Systems
It could be 5 - 25% more expensive to acquire new customers than to retain existing ones. New customers have to go through your entire customer acquisition funnel before becoming a customer, which is expensive and time-consuming. On the other hand, customer retention is not only cost-effective but also profitable. According to Frederick Reichh
02 July 2021 /payments /retail
Tejasvi Addagada Data Governance Head at Fortune 500 financial service provider
Banks and Financial institutions are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. However, as the tool-stack in most organizations is being...
28 February 2021 /sustainable /cloud
Brian Holden Global Director of Financial Services at SAS
The amount of support handed out to businesses means banks will soon need to collect money from them on a scale which has never been done manually before. Throughout the pandemic, many businesses have borrowed purely to survive rather than drive growth, which begs the question as to how many of these businesses will exist long enough to repay the ...
09 February 2021 /covid-19
For years, we’ve heard that branch banking is on the way out. Banks have been focused on the idea that younger generations want to do everything online, and digital transformation initiatives have centred around creating seamless user experiences on web and mobile and a truly networked society. At the same time, visiting the local branch has been ...
08 October 2020 /retail /covid-19
Twelve years ago, the banking industry suffered deep reputational damage in the wake of the 2008 global financial crisis. Bankers took the blame – in some cases deservedly – for large-scale economic problems that took a severe toll on many of society’s most vulnerable people. The crisis severely shook banks and financial institutions. Some, like N...
15 September 2020 /covid-19
Accuracy measures the degree to which data represents the real-world entity in this case a person, organization, or Source from where we know it has originated. Measuring data quality is possible if the characteristics of its physical and contextual existence are well understood. These characteristics of data can be translated into data quality rul...
02 August 2020 /regulation /identity
As Banks and Insurance firms have already embraced Data Lakes for their Artificial Intelligence and Machine learning capabilities, it is important to look for continuous Return on Investment on the platform. If a Data Lake is not well maintained, it can turn into a swamp while finding usable data can confuse the data consumers. Most challenges can ...
26 July 2020 /sustainable /devops
Micah Willbrand Product Director ID&F at Experian UK&I
Covid-19 has caused upheaval to all our lives. With the economic impact still uncertain but likely very significant, it’s clear we’ll be living with the consequences of the outbreak for a substantial period of time. But even during these unprecedented times, criminals and fraudsters remain active. Banks and other financial providers’ fraud teams – ...
25 June 2020 /crime /covid-19
Konrad Litwin Global General Manager - Testing at Perforce Software
Using advanced mathematical modelling for calculating, predicting and evaluating risk is nothing new. Financial institutions of all kinds have long been using numerical libraries, whether home-grown or from a third party, containing mathematical, statistical and — increasingly — machine learning algorithms. However, the increasing complexity, mark...
08 June 2020
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