NATIONAL INSURANCE ACADEMY

PUNE

P767- PROGRAMME ON DATA ANALYTICS (LIC)

(2023-24)

Background:

Data Analytics in Insurance Business Management is becoming increasingly important. The use of sophisticated data analysis tools and techniques have become extremely essential to ensure data-driven planning and decision making in business development process and CRM.

Excel is becoming to be one of the most widely used spreadsheet software tools in the insurance industry. It is now possible to develop dynamic dashboards by using excel for better customer management and customer engagement. This program provides hands-on practical based insight in Analytical CRM.

  Objectives:

  At the end of the programme the participants shall be able to:

Ø  Appreciate Importance of Data Analytics

Ø  Understand Data Analytics: CRM & IT Perspectives

Ø  Understand Data Analytics Types

Ø  Appreciate importance of Data Analytics Best Practices

Ø  Know Data Analytics Tools & Techniques for Data-Driven CRM by using Excel and related tools

Ø  Customer Life Time Vale (CLTV)

Ø  Cluster Analysis for Customer Segmentation

Ø  Association Mining

Ø  Regression-based Forecasting

Ø  Classification-based Predictive Analytics

Ø  Simulation based Predictive Analytics

Ø  Customer Lead Management System (CLMS), Customer Conversion Optimization

Program Contents:

Ø  Data Analytics: CRM & IT Perspectives

Ø  Excel-based Data Analysis Tool Pack

Ø  Excel-based Cluster Analysis for Customer Segmentation

Ø  Excel-based Association Mining

Ø  Regression-based Forecasting by using Excel

Ø  Excel-based Simulation for Customer Predictive Analytics

Ø  Classification-based Predictive Analytics by using Data Mining Software-Tool

Ø  Customer Conversion Optimization

Ø  Best Practices of Data Analytics for CRM

Ø  Big Data Analytics  and AI for CRM,

       Excel operational knowledge & skills are assumed.

  Participants Profile:

Administrative Officers in the IT and CRM Depts. in Central Office

Nomination by CO-HRD in consultation with CO-IT and CO-CRM Departments

Duration:       3 Days

Dates:             05.02.2024-07.02.2024