How data science will shape post-COVID banking? had a thought-provoking discussion with FrankBanker: 02:01 (Part 1) Impact on variables in Credit Models05:33 (Part 2) Are we going back to Judgemental Lending?07:50 (Part 3) Evaluating analytics readiness of Banks12:20 (Part 4) Is ‘IT’ the right place for Data Analytics?14:15 (Part 5) Changes in the Credit Scoring methodologies20:47
This is the final part of the digital marketing case study example. In this case study, you are a digital analytics consultant. Here, you are working with your client Helping Hand, an NGO, to extract the maximum value out of their marketing campaign. For this, you are using principles of reinforcement learning to get the maximum donation
Welcome back to the digital marketing case study example. In this case study, you are helping your client to identify an ad that will generate them the maximum return on marketing investment (ROMI). In the previous part, we discussed A/B testing which is the prevalent method used to compare the effectiveness of marketing effort. You are an expert
Welcome back to our digital marketing case study example. In the previous part, you had initiated an email donation campaign for your client Helping Hand, an NGO, with three different ads for the same cause to support the needy in Africa. The idea is to identify the ad that generates the maximum donation from the
How to make machines learn on their own similar to humans? This is the pivotal question for the development of artificial intelligence. To develop intelligent machines and systems (artificial intelligence), we need to understand how human intelligence and learning work. For this, we will explore the ideas behind reinforcement learning. In the process, we will
When they leave, they leave footprints for others to follow Customer Churn A couple of months ago, I closed down my savings account with a leading bank in India. I had this account for more than a decade. Since I have worked with the banking and financial services industry, I know I was a reasonably high-profit
This article is the epilogue to our case study example about campaign and marketing analytics for an online retail company. You could read the previous parts at Problem definition: Part 1 & Part 2 Description: Part 3 Association: Part 4 Classification: Part 5, Part 6, Part 7, Part 8 Estimation: Part 9, Part 10 In this part we
This article is a continuation of our marketing analytics case study example for campaign management solutions. In this case, we started with the following two goals to build models to identify Most responsive customers Most revenue generating customers Problem definition: Part 1 & Part 2 Description: Part 3 Association: Part 4 Classification: Part 5, Part 6, Part 7, Part 8 Estimation:
Welcome back to our retail case study example for marketing analytics. In the previous 8 parts, we have covered some of the key tasks of data science such as: Problem definition: Part 1 & Part 2 Description: Part 3 Association: Part 4 Classification: Part 5, Part 6, Part 7 & Part 8 In this part, we will learn about estimation
Welcome back to our retail case study example for campaign and marketing analytics. So far in this case study, we were working on a classification problem to identify customers with a higher likelihood to purchase products from the campaign catalogues. In the last article on model selection, we noticed that artificial neural networks performed better than logistic regression, and decision tree