Digital Bank Transformation

The Importance of understanding profitability of each customer

13 Oct 2023

What are we discussing here? In this piece, we will delve into a method that empowers banks with deeper insights into their existing operations, facilitating a structured approach to discerning primary revenue sources and gearing up for impending challenges. Visualize this scenario: You're a bank CEO going through the quarterly financial results ...

Big Data

Navigating the Non-Uniform Data Landscape: The Promise of Feature Stores

09 Oct 2023

Hi all, Today we are continuing with our series of articles about data usage, AI/ ML modeling, and analytics in banking. Start. In today’s data-driven world, businesses have a wealth of information available to them, gathered from a myriad of sources. However, a common challenge that most organizations face is the non-uniform format of this data, w...

Big Data

Addressing Data Censoring in Credit Analytics and Model Building

08 Oct 2023

Hi all, Nice to see you again. In this topic, we would like to start with an example to describe the problem of loan portfolio analysis better. Problem example: Data censoring, or the process in which some data is not available or biased, presents a significant problem for businesses across various sectors. This issue becomes highly prevalent when...

Big Data

Deconstructing the Data Dilemma in Banks: Banks have a false sense of having data

06 Oct 2023

Hi all, It's Dmitriy from TIMVERO. Today we are starting our series of articles about data usage, AI/ ML modeling, and analytics in banking. First one is going to be about issues with data availability. So, let’s start. In today’s banking sector, institutions may find themselves perched upon a false sense of data availability. Often, they may beli...

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