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
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
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
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
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
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
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.
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
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
Credit Risk Analytics: Macroeconomic modelling for Bank for PD impact
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
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