data migration process. purpose and prerequisites data migration data flow data migration process...
TRANSCRIPT
Data Migration Process
Purpose and Prerequisites
Data Migration Data Flow
Data Migration Process Flow
Data Migration Process Description
Roles and Responsibilities
Premium Collection after Data Migration Roll-outs
PLI Data Cleansing
Data Mapping
McCamish Modules
Table of Contents
Purpose, Inputs and Output for Data Migration Process
• The purpose of Data Migration Process is to ensure a smooth, accurate and timely migration of data from existing PLI/RPLI system to McCamish without impacting customer service and productivity of the customer.
• Forms part of content for Data Migration training to IP-PLI
Purpose
• Sign off on Data Migration Plan• Confirmation from IP-PLI on preparedness of office data to
be migrated.• LAN/WAN network readiness confirmation• Command Center should be ready• List of offices identified for Data Migration as per Rollout
Plan
Entry Criteria/ Inputs
• Data Migration from PLI/RPLI to McCamish• Sign off on Reconciliation Reports
Exit Criteria/Output
Data Migration Data flow
Data Migration Process Flow
Sign-off from IP (PLI)
-----------------------PMU – IP (PLI)
PLI to run scripts and share the discrepancy report with the circles---------------------------
IP (PLI)
Data is clean or
not?To next phase
Data Mapping (Source System v/s Target
System)---------------------------DM Team - Infosys
Share scripts of Data Cleansing rules with
NIC/PLI---------------------------
Infosys
Data Cleansing & Enrichment
---------------------------Sys Admin – IP (PLI)
YES
NODB – Converted and Cleansed data of all HOs
Sign-off on DM Plan-Finalise DM Process -DM Training-LAN/WAN Readiness
Data Migration Process Flow…Contd.
Data Validation & Correction
-------------------------Circle Officer –
Infosys & IP (PLI)
From previous phase
Transfer PLI/RPLI DB from NIC
-------------------------DM Team - Infosys
Extract Data-------------------------DM Team - Infosys
Stage 1 Area
Transform Source Data into format as
reqd. by Target System
---------------------------DM Team - Infosys
Target Schema Tables
(Stage 2 Area)
Reconciliation-------------------------DM Team - Infosys
Data Upload-------------------------
Upload Team - Infosys
Pre-staging Area
Data Profiling Report
Reconciliation Report
Reconciliation Report
Sign-off-------------
-PMU – IP
(PLI)
McCamish Staging Area
Data Migration Process Flow…Contd.
End
Sign-off-------------
-PMU – IP
(PLI)
UAT Report
System Integration Testing
---------------------------DM Team - Infosys
User Acceptance Testing
---------------------------Zonal PMs – Infosys &
End User IP (PLI)
Trial Run------------------------DM Team - Infosys
SIT Report
Is SIT successful?
YES
NO
Is UAT successful? Bug Fixing
NO
YES
One-time activity for the selected
offices
Mock Run------------------------DM Team - Infosys
Data Uploading - Final
------------------------DM Team - Infosys
McCamish Tables
From previous phase
Bug Fixing
Data Migration Process Description
• Identifying source tables from PLI/RPLI system• Identifying source tables from McCamish system• Perform data mapping exerciseData Mapping
Data Cleansing
• Data will be extracted from the pre staging area. After validation and correction using validation engine the content of DB would be replicated to Stage 1 area for data transformation process
• Data Transformation is the process of applying a set of rules to bring PLI/RPLI data to the same format as the McCamish . After transformation the Data will be inserted to the Stage 2 area and thereafter uploading to McCamish Staging Area
Data Extraction, Transformation and
Loading
• Sharing of PLI/RPLI Data cleansing scripts to NIC by Infosys. NIC will share the discrepancy reports to Circle offices after executing the scripts
• Data will be cleansed and enriched with the help of Data Enrichment Cleansing Rules by DoP
• The cleansed DB will be transferred to the pre staging area
Data Migration Process Description
• The reconciliation reports will be generated and validated before the uploading process
• In the Upload process data will be loaded to Stage 2 Area
• From Stage 2 area, data will be further migrated to production
• Trial migration will happen for selected offices• Mock migration will happen across offices
Data Extraction, Transformation
and Loading (Cont.)
• After trial migration, system integration testing will be performed which will be followed by mock migration .After mock migration, user acceptance testing will be performed.
• After UAT, data will be further migrated to production
User Acceptance testing and
Final Upload
Roles and Responsibilities
Premium Collection after Data Migration roll-outs
Data Discrepancy Report
Data Discrepancy Report
Data issues
Policy Status not known or is incorrect in system
Pay Mode is Null
Medical is Null or is Invalid
DO Code is Null
Spouse DOB is Null (YS)
Invalid Gender
Invalid Category
Difference between DOB and DOA is more than 45 years (CWLA Policies) .
Policies with loan amount less than 1000.
Data Cleansing
Infosys provided data cleansing scripts to DoP to generate policy wise data discrepancy report for Pilot offices
DoP to get those scripts run and share discrepancy report with respective offices
To run these scripts, appropriate access to database is required
Cleansing is to be done manually mostly by referring to case files and/or related ledger / table
Refer to data cleansing rules for more details in share point
Thank You