Finalytica Nov 2021: Experiential learning
Introduction
Systematic Investment Plans in Indian Mutual fund industry is an important way of garnering inflows into Equity funds for the Indian Fund houses. The Industry has grown to regular monthly inflows of INR 10,000 crs with an investor base of around 46 million. … Continue reading
Finalytica Sept 2021 : Knowledge Series in Successful end-to-end BI Solution implementation for an NBFC
We implemented an end-to-end BI Solution for a large Non banking finance company in India right from Data Engineering to ML based report creation to Analytics Dashboards to usage of Narrator tool to overall data & dashboard automation. We describe the case study in detail here End to end BI solutioning
Finalytica Aug 2021 : Knowledge Series in The Journey of Auto Machine Learning through Clientrator
Automated machine learning, also referred to as automated ML or AutoML, is the process of automating the time-consuming, iterative tasks of machine learning model development.. Creating a Machine-learning/Data Science model from scratch is a time-consuming and long process which has multiple stages and requires multiple iterations.… Continue reading
Finalytica June 2021: Knowledge Series in NLP based automated insights & Application in Narrator
Why Insights?
Insights derived through Natural Language programming are used to solve the problem by providing key statistical highlights of the data, extracting valuable insights which are key pointers for business to act upon, and prescribing actions to be taken, given the current state of data to improve the decision-making process.… Continue reading
Finalytica April 2021: Knowledge Series in Technologies in BI Solutioning
Business intelligence (BI) comprises various strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies include ETL, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business, benchmarking, text mining, predictive analytics, and prescriptive analytics and reporting.… Continue reading
Finalytica March 2021: End-to-End BI Solutioning
Business intelligence (BI) solutions combine business analytics, data mining, data visualization, data tools and infrastructure, creating data models and helping organizations to make more data-driven. All of these things come together to create a comprehensive view of a business to help people make better and actionable decisions.… Continue reading
Experiential learning: Expected Credit Loss Framework
What is Expected Credit Loss (ECL)?
Based on a risk, banks and financial institutes want to take actions in these rapidly growing financial markets and one of most important risk that they are exposed to is credit risk. ECL is used to recognize the impairment losses arising from potential defaults in future.… Continue reading
Best and most read G-Square articles of 2020: Knowledge Series & Experiential Learning
1. HR Analytics
HR analytics is better known as workforce analytics and plays a very important role in all the organisation in terms of improving the employee performance and retention. Problem statements which can be answered using HR analytics are: Manpower: How to optimize the manpower based on the manning in different locations.… Continue reading
Finalytica Dec, 2020: Human Resource Analytics
Background to HR Analytics
HR analytics is better known as workforce analytics and plays a very important role in all the organisation in terms of improving the employee performance and retention. Problem statements which can be answered using HR analytics are :
- Manpower: How to optimize the manpower based on the manning in different locations.
Finalytica Nov, 2020: News Curation
News Curation
What is News Curation ?
On the internet, searching for the right kind of news can be a time consuming task simply because sometimes you cannot exactly explain what you are looking for or that the system fails to understand the requirements.… Continue reading
Finalytica Oct, 2020: Analytics-based Collection Models
Analytics-based collection models help banks and NBFCs recover loans more efficiently. A collection model helps a bank or an NBFC identify groups of customers where the collection efforts need to be focused on. Many collection systems even now are just rigid rule-based setups, which only take in limited amounts of data to make decisions and do not change with dynamic factors such as markets, client behaviour, their actions, repaying patterns, etc.… Continue reading