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Analytics in Banking

This is for discussion and sharing of views on trends, practices and views in analytics in banking and financial industry

Nikolay Denisenko

Nikolay Denisenko Co-Founder & CTO at Brighty App

The Future of Work And Financial Planning: Can Neobanks Help Adapt to the Gig Economy?

The traditional model of the 9-to-5 job with a steady paycheck and employer-sponsored benefits is fading fast. Last year, up to 30% of the global workforce participated in some form of freelance or independent work. Fueled by digital platforms and on-demand services, this new landscape, known as the gig economy, offers flexibility and independence...

/payments /crypto

Simon Axon

Simon Axon Financial Services Industry Lead, EMEA & APJ at Teradata

Learnings from the Ben Bernanke Report

The implications of Ben Bernanke’s review of forecasting for monetary policy making at the Bank of England go far beyond the Bank itself. His recommendations lead with a call to accelerate the modernisation of software used to manipulate data as rapidly as feasible. The Bank should certainly expand investments in creating the flexible, scalable an...


Max Koretskiy

Max Koretskiy Investor, Cо-Founder at Blackshield Capital Group

Five Fundamental Characteristics of Attractive Investment Stocks

Traditionally, when considering the topic of investments in stocks of public companies, we focus on the trends of the American stock market, as the largest and liquid market in the world. It is a key arena for investors due to its wide diversification, technological innovation and strict regulation. Since the beginning of 2024, the US economy and ...

/wealth /markets

Sushama Divekar

Sushama Divekar Consultant - Retail Banking, Analytics & Insights at Not Applicable

Think Data Governance before you think AI

Artificial Intelligence is “the” word in the data world. It’s a concept that will shape the organisations of the future. For the better. It’s like a magic word, that assures promises of hyper personalization, competitive edge, increasing revenues, transformation of service and product delivery et all to that will enable organisations to create com...


Joe Rodriguez

Joe Rodriguez Sr. Managing Director Financial Services at Cloudera

How can data analytics impact decision-making in the fintech industry?

Data has become an essential driver for new monetisation initiatives in the fintech industry. Vast amounts of data are collected from customers, transactions, and market movements, among other sources. This offers tremendous potential to extract valuable insights that can inform business decisions, improve customer service, and create new revenue ...

/regulation /retail

Vikram Kaul

Vikram Kaul Partner - Data Analytics and AI at TCS

Data strategy in the age of GenAI

The new age of Gen AI is likely to bring about several changes in the way we approach Data Strategy. Data strategists will have to incorporate new Gen AI powered opportunities and reshape their views on what is possible with data. The most common question organizations have been asking of Data Strategists is “How can we incorporate Gen AI within ou...

/cloud /predictions

Dmitriy Wolkenstein

Dmitriy Wolkenstein CEO at TIMVERO

The Crucial Role of Experimentation and Testing in Today's Competitive Banking Landscape

Hi all, Nice to see you again. In this topic, we would like to continue with an exploration of the problem and potential solutions to improve loan portfolio analytics. Introduction In today’s high-stakes banking industry, continuous innovation, strategy implementation, product development, and operational efficiency enhancement are more than just ...

/retail /predictions

Rajeev Verma

Rajeev Verma Consultant at Tata Consultancy Services Ltd

Process Transformation through Process Mining in Mortgage Industry

Process Transformation through Process Mining in Mortgage Industry The key driver for the growth in the mortgage industry is customer satisfaction fueled by faster service and competitive time to market. The challenges with mortgage industry are heavy documentation, timely decisioning, and compliance with strict regulatory guidelines. The mortgage...


Rajeev Verma

Rajeev Verma Consultant at Tata Consultancy Services Ltd

Aspects of MLOps on Cloud

Aspects of MLOps on Cloud Focus on Retail Banking by: Rajeev Verma I. Introduction Over the last 5 years, the adoption of cloud-enabled computing in the banking industry has gained traction. Moving from On-premise model deployment to big-data clusters was a step towards Machine Learning operations (MLOps). MLOps processes are defin

/retail /cloud

Sushama Divekar

Sushama Divekar Consultant - Retail Banking, Analytics & Insights at Not Applicable

Chief Data Literacy Officer (CDLO) – the new champion in the data world

The Chief Data Literacy Officer is not yet a role in the Data Management organization but must be – very soon. While the role of the Chief Data Officer has not completely been recognized or manned in many cases, and may not have matured as of now, is the need for a new entry into the C-suite world truly warranted? Well, the response to this is an e...

/retail /wholesale

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