AnalyticsLab

A deeper understanding of the use of analytics in the financial services industry

Course Overview

Course Description

AnalyticsLab is a training course designed to facilitate a deeper understanding of the use of analytics in the financial services industry.

This introduces the various levels of complexity that can be utilized, ranging from basic descriptive analytics to more intricate prescriptive and optimization approaches.

The dynamic and interactive sessions will guide the participants to actively gain the basic knowledge to design analytical solutions that effectively address the objectives of the business. Attendees will learn about structuring analytical projects, formulating the problem and managing and manipulating big data through the understanding of sampling techniques and key validations.

Learning Objectives

UNDERSTAND

Understand the use of analytics across the overall retail credit life cycle.

EXPLORE

Explore the usage of analytics from basic descriptive analytics to more intricate prescriptive approaches.

KNOWLEDGE

Gain knowledge on how to translate business objectives into a sound analytical design.

LEARN

Learn about structuring analytical projects, formulating the problem and managing and manipulating big data.

AnalyticsLab Sample Course Agenda

DAY 1

  • Analytical Project Steps
  • Project Structure
  • Analytical Problem Formulation
  • Choosing the right Technique
  • Defining and Processing the Data extract
  • Data Validations

DAY 2

  • Analytical Design
  • Practical applications of business objectives
  • Analysing data with Prescriptive Statistics
  • Overview of Tools available
  • Data Preparation
  • Predictive Modelling and Strategy Design

DAY 3

  • Advanced Mathematical Techniques
  • Presenting the results
  • Best use of External Data
  • Tracking and measuring ROI
  • Testing and Implementation
  • Common Analytical mistakes

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