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
Key Trends of AI/ML and Data Analytics world in the Year 2021
Key highlights of PWC survey report: 2021 AI Predictions: No uncertainty here
- This trend is crystal clear: US companies are ramping up their AI investments. Fifty-two percent of our survey respondents have accelerated their AI approach in the wake of the COVID-19 crisis.
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
Finalytica Sep, 2020: Experiential learning
Credit Risk Analytics: Macroeconomic modelling for Bank for PD impact
Background
One of the Banks wanted to predict the impact of Covid scenario on futuristic PIT Probability of Defaults (PD) for their portfolio considering the current environment for this year and subsequent years.… Continue reading
Finalytica Aug 2020: Experiential Learning: Text Extraction from PDFs
Relevant Text Extraction from PDFs
Data extraction for analysis can be as challenging as it is important to an organization with data available in sources of different sizes and formats. For this very purpose, we can use one of many techniques or multiple methods in combination to extract text and clean it, so as to make it as readable as possible to the end user.… Continue reading
Finalytica July, 2020: Knowledge Series
Price Optimisation through Machine Learning for Retail Stores
Introduction
Price optimisation refers to determining the prices of products/services such that the company can achieve its business objectives. In recent times, there have been major technical advancements in this field with more reliable and faster techniques.… Continue reading
Experiential Learning: Predicting Active Corona Cases in the US, India and Brazil
In the last predictive analysis series on Covid-19, we had tried to predict the likely active cases in US, India and UK basis learning from Spain and Italy. The predictions turned out to be close to what the actual numbers were.… Continue reading
Predicting Active Corona Cases in the US, the UK and India
A Transfer Learning Approach
When we predict any time series data we typically use internal data and predict the future for example when we predict the temperature of a city we use historic temperature of the city and predict the future using a model.… Continue reading