Experiential Learning: Leveraging Narrator on Public domain data for Analytics
Leveraging Narrator on Public domain data for Analytics
Introduction:
Many organizations use Business Intelligence (BI) tools for their conventional & core data, such as Dashboarding for reporting. Narrator is also used by many organizations for their reporting, dashboarding, insighting on the core data on a day-to-day basis
However, in the last few years, Narrator has also emerged as one of the tools where you can host your alternate data like data sourced from public domain or portals etc.
… Continue readingBest of G-Square’s Knowledge Series & Experiential Learning articles of the Year 2023
1. Enhancing Credit Facility In Credit Cards through ML Modelling
Predictive modelling using 12 months of historical data to identify credit card customers likely to convert retail balances to instalments. Utilize 6000 features for targeted marketing campaigns, enhancing customer engagement through channels like emails and push notifications.… Continue reading
Big Announcement: G-Square launches AI Insights in Narrator
Introduction:
We are super excited to share our new launch with you – Narrator’s AI Insights is here to make your data insighting stronger. Say goodbye to confusing spreadsheets and hello to a world where data becomes your trusted source for making smart decisions.… Continue reading
Finalytica November 2023: Reactivation of Inactive Customer base through ML
Reactivation of Inactive Customer base through ML
Introduction
In the retail funds & Investments industry, one of the key challenges is to retain and grow the customer base, especially in the context of increasing competition and changing customer preferences. One of the strategies to achieve this goal is to activate existing inactive or partially inactive customers through cross-sell and upsell of products and services to existing customers, based on their needs and preferences.… Continue reading
Finalytica, Oct 2023: Knowledge Series: Leveraging Large Language Models (LLMs) in enhancing Business Value
Utilizing Large Language Models (LLMs) in enhancing Business Value
Introduction
This comprehensive article explores the transformative applications of Large Language Models (LLMs) in the realms of text summarization, language enhancement, and structured data analysis for businesses. We delve into how LLMs work, their practical usage, and their significance in summarizing content from PDF and HTML files.
… Continue readingFinalytica, Sept 2023: Knowledge Series: 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 readingExperiential 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