Hadoop insurance company case study

2,091 views
1,759 views

Published on

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
2,091
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
44
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Hadoop insurance company case study

  1. 1. Insurance Company Case Study - Hadoop /Bigdata solution We have this basic use case to implement using Bigdata solutions: Introduction : An insurance company with regional offices in each state is in business of Home and Auto Insurance. **Each regional office send the details of monthly transaction ( enrollments , updates to policy , cancellation) to Central System **The feed is form of Raw txt file converted by Mainframe system and sent to central processing server (Linux ) using FTP. ** The data is in FIXED line format . Data Format: 1 single line contains : - Transaction ID, - SSN , -InsuranceID , -RegionalOfficeID, -Insurance Type - Insurance Duration -Amount -Notes -Timestamp Business Need: The Company wants to launch a new product for Home and Auto insurance users and the management would like to give some real time facts based on the data they have like: - No of user using the insurance national wide - Pace with which the users are joining - Which type of insurance package ( Home , Auto , Dual ) is more lucrative to customers as per their location geographies. . Some Hard Numbers: No of users: 20 Million Data File feed size: 50 MB / Cycle No of Data cycles: 2 / week. Time expected for output: Monthly Basis
  2. 2. Please analyse this business problem and provide your inputs for design and technology choice Linkedinforum: http://www.linkedin.com/groups/Insurance-Company-Case-Study-Hadoop- 4838165.S.256068004?qid=f3f6cdaa-119f-4a63-8c5b-3defd9be1208&trk=group_most_recent_rich-0-b- ttl&goback=%2Egmr_4838165

×