Finalytica, Sept 2023: Experiential Learning: Using Snowflake for Data Warehousing and Analytics
Utilizing Snowflake for Data Warehousing and Analytics
Introduction
Let’s look at Snowflake’s features, benefits, real-world applications, and its potential to transform the world of data warehousing and analytics.
About Snowflake
… Continue readingSnowflake is a cloud-based data warehousing solution that blends traditional data warehousing with cloud flexibility.
Experiential Learning: Unleashing the Potential of Databricks
Understanding and utilizing Databricks for Advanced Data Analytics
Introduction:
In the ever-evolving landscape of data analytics, emerging technologies continually reshape the way we handle and analyze data, offering efficient, scalable, and powerful solutions. Among these innovations, Databricks stands out. In this blog, we will take you through the world of Databricks, exploring its features, benefits, use cases, and how it can revolutionize the way we approach data engineering and data analytics.
… Continue reading
Experiential Learning: Neural Networks in Sales Modelling
Experiential Learning: Neural Networks in Sales Modelling
Background
In our regular sales modeling for clients, we primarily relied on traditional algorithms such as random forest and XGBoost models due to the tabular nature of our data and the success we achieved with these models.… Continue reading
Finalytica, Jun 2023: Experiential Learning: Cross Sell Consumer Loans to Wealth Customers
Experiential Learning: Cross Sell Consumer Loans to Wealth Customers
Background & Objective
Wealth management companies usually provide all kind of investment, Insurance and lending solutions to their customers. Wealth Customers usually invest in savings instruments like Mutual Funds, Equities, Debt, Structured Products and buy Insurance of various kinds for protection.… Continue reading
Finalytica May 2023: Enhancing Credit Facility Through a ML Model In Credit Cards For a Large Asian Bank
Enhancing Credit Facility Through a ML Model In Credit Cards For a Large Asian Bank
Background:
The client has a credit card facility that allows the credit cardholders of good credit standing to convert a portion of their billed credit card retail balance to instalments.… Continue reading
Finalytica April 2023: Clientrator – A Complete ML Modelling & MLOps Tool
Clientrator – A Complete ML Modelling & MLOps Tool
Why the need for a ML tool?
Predictive analytics using Artificial Intelligence and including machine learning (AI & ML) is one of the fastest areas of growth in any data-centric organization. The reason behind this growth is increased adoption of the ML in all mature organization given the success from running ML based data strategies.… Continue reading
Finalytica March 2023: Improving Collections through ML based Collections Analytics
Improving Collections through ML based Collections Analytics
Background:
Collections teams in Banks & other financial institutions often face a difficult task of deciding on the best possible steps to take for pending payments in loans & cards repayments. This usually results in the pending dues moving in various days past due (DPD) buckets.… Continue reading
Finalytica Feb 2023: Credit Card Behaviour Scorecard Model for a Large International Bank
Credit Card Behaviour Scorecard Model for a Large International Bank
Introduction:
One of the areas where banks usually need credit risk analytics strongly is in building behaviour based scorecards to assess the current status of customer and portfolio health check in the assets products space.… Continue reading
Best of G-Square’s Experiential Learning for the Year 2023
Best of G-Square’s Knowledge Series & Experiential Learning articles of Year 2023
- Complex Reporting and Dashboard creation in BI Tools
Business intelligence (BI) is an essential tool for any organization looking to gain a competitive edge. With our BI complex reporting solution, you can gain valuable insights into your sales performance, customer behavior, and market trends.
Best of G-Square’s Experiential Learning for the Year 2022
Best of G-Square’s Knowledge Series & Experiential Learning articles of Year 2022
- Predicting Affluence using Proprator
Private sector banks who have a strong customer base in retail, corporate and NR space need to assess their customers’ income levels which will help the companies in targeting specific customers and create customer centric campaigns.
Finalytica Nov 2022: Experiential Learning – Loss Given Default (LGD) Modelling for Banks
Loss Given Default (LGD) Modelling for Banks
Background
Problem Statement
To identify the estimated potential credit losses, we calculate a loan’s projected profitability. Under IFRS 9, banks are required to recognize credit losses at all times based on reasonable information, considering past, current, and future events.… Continue reading
Finalytica Oct 2022: Experiential Learning – Geolocation Analytics for Banks
Geolocation Analytics for Banks – Location based analytics
Location Analytics:
In every aspect of moving around the nooks & corner of any country, maps play an important part for any individual or any organization. The usage of location maps is across transportation – From B2C to B2B i.e.… Continue reading