Income is strengthening its online presence for Life & General Insurance business. To scale up online sales capabilities & target customers with preferred product at preferred time, it’s important to have personalized campaign design & provide them cost effective products through data driven solutions. Currently Income is working on Customer Interaction data model in datalake which will cater as main source of data for data discovery.
Income’s customer data is stored at multiple & diversified operational & transactional systems. It’s very important to provide a single view of customer to various business units like marketing, sales, actuary, operations etc. so they can have holistic view of customers, grow effectively by upsell/cross opportunities & at the same time provide better & timely service to customers.
To achieve this, Income embarked on data lake design & implementation of customer interaction data model. The objective of this project will be divided into three phases :
a) Consolidation of various data sources & data model design into data lake (30% )
b) Solution for identified business problem through advanced analytics (50%)
c) Timeliness of data availability to end users (20%)
To scope the project, the initial analysis will be for Life or General Insurance products. Apply big data discovery & advanced analytics
techniques to know the customers better & act upon the new actionable insights to derive business value. It requires both business & technology acumen.
Technical Skills and Competencies Trainee will learn during SGUnited Traineeship Programme:
a. Graduated or graduating in calendar year 2019 or 2020 from Universities
b. Graduated earlier from above institutions and completed National Service in 2019 or 2020