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FlowLogic Data Migration

FlowLogic Data Migration

This document details the standard data migration strategy plan form FlowLogic to Salesforce.

DATA MAPPING

A sample data mapping can be found in the sheet linked below.

https://docs.google.com/spreadsheets/d/1klOOWE1e9NAK_r_fSvb2QWZ8CUyoxatgfI1-qfgRFts/edit?usp=sharing

DATA MIGRATION PACKAGE BUILD

On a SQL Server instance in Vertic’s Amazon Web Services account, we will build a package which maps the FlowLogic database into Salesforce and, once built, can be executed to perform data runs into Salesforce. The ultimate aim of this build is to enable an efficient ‘go-live’ production run which ensures operational downtime is as minimal as possible and to ensure data quality, which is tested during the initial run and subsequent patches, is maintained in the ‘go-live’ migration.

The identified primary migration areas which will also have relationships and child data areas to be included in the build.

  • Data Migration Package Build - Base Package

  • Data Migration Package Build - Sites

  • Data Migration Package Build - Staff

  • Data Migration Package Build - Clients

  • Data Migration Package Build - Service Agreements, Funding Sources & Funding Claims

  • Data Migration Package Build - Suppliers

  • Data Migration Package Build - Funding Administrators

DATA RUN EXECUTION

Data runs will be performed to ensure the data package that we build is successfully meeting the requirements of the team and to allow review and feedback.

We will perform our data runs in a provisioned Salesforce sandbox environment.

  • Execution of Initial Test Migration Run

    • Based on the initial analysis and data mappings provided we will perform the initial data run.

    • Expecting will be around 70-80% data accuracy.

  • Execution of Further Data Patches & Feedback

    • Completed based on feedback of the initial data run.

    • Further transformations and data analysis to be completed.

    • Expecting that this will increase data accuracy to 90-95%.

  • Execution of Production Data Run

    • Go-live data run when data is fully tested and approved.

    • Expecting minor gaps that are discovered during first few days of go-live where we can run further patches directly into production if required.

DATA MIGRATION TIMELINE

The proposed timeline below details the actions required leading to go-live.

ITEM

TIMING

NOTES

ITEM

TIMING

NOTES

Data Source to Target Mapping

MONTH 1

Fields to map have been identified.

We need to provide the Salesforce mapping fields and transformations.

Package Build

MONTH 2

Based on the agreed mappings.

Initial Test Migration Run

MONTH 2

Refreshed database from FlowLogic required.

File Migration Sample Run

MONTH 3

 

Further Data Patches & Feedback

MONTH 3

Team to provide feedback.

Production Run

MONTH 3

Refreshed database from FlowLogic required.

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