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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

Ben O'Brien

Ben O'Brien Managing Director at Jaywing

Data storytelling in Financial Services: Turn insights into action

Numbers have always been crucial for measuring success. From revenue figures to profit margins and customer acquisition expenses, these numbers guide critical decisions. Yet, today, the challenge remains in creating stories that can shift these numerical dials. It's about taking complex datasets and turning them into narratives that drive real cha...

/predictions

William Waid

William Waid CPTO at FICO

Reducing Uncertainty to Improve Customer Decisions

Consistently making better, faster decisions leads to better and more competitive business outcomes. Better customer experiences, retention, customer satisfaction and lifetime share-of-wallet are the goals. Unfortunately, this can be a case of easier said than done. Improving decision-making requires certainty, and that takes effort, innovation and...

/retail

Joris Lochy

Joris Lochy Product Manager at Intix | Co-founder at Capilever

From Data to Decisions: The Journey of Data in Analytics

"Data is the new gold" is a quote often heard, especially in the financial services industry. This sector deals with enormous amounts of extremely valuable data about their customers and handles purely virtual products or services. Thus, data is an essential part of the financial services business. While the value of data is undeniable,

/ai /startups

Erica Andersen

Erica Andersen Marketing at smartR AI

Uncovering Genuine AI Insights for Financial Services

Conversational AI and Document Querying: A Path to Business Benefit, Data Control, and Cost Management In the digital age, financial institutions are constantly seeking new ways to leverage technology for extracting valuable insights from their data. The rise of conversational AI and document querying has stirred excitement among financial profess...

/ai /devops

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...

/regulation

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

Retired Member

Retired Member 

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...

/retail

Retired Member

Retired Member 

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

Retired Member

Retired Member 

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

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