Data Analytics Workflows

  • Title : Building a Standardized Data Analytics Workflow: A Step-by-Step Guide for Financial Institutions, Illustrated with a Lapse Modeling Case Study
  • Authors : Julien Antunes Mendes, Samuel Mahy and Xavier Maréchal
  • Date : March 2021
  • Reference : Reacfin E-Book Vol.1 2021
  • Key words : Data Analytics – Lapse Modeling – Data Sourcing – AI – Machine Learning- Standardized Workflow – Robust data analytics projects

Data science and machine learning techniques have become increasingly popular for many applications, including projects in financial institutions. However, it can be challenging for businesses to develop the right workflows to smoothly and efficiently implement data projects from end to end. Yet standardizing and building robust data practices is absolutely critical in supporting data-driven decision making — without it, in a world where 87% of data science and machine learning projects fail, financial institutions risk falling victim to this statistic Julien Antunes Mendes, Samuel Mahy, Xavier Maréchal

Want to go further? Hear Xavier Maréchal, Samuel Mahy and Julien Antunes Mendes talk about standardization and improvements of Data Analytics projects: