Bhubaneswar, Odisha, India
+91-8328865778
support@softchief.com

Data Migration & Modernization Consulting

Data Migration & Modernization | Softchief
DATA MIGRATION & MODERNIZATION

Move your data with confidence.

Plan and execute structured data migrations from legacy applications, SQL systems and existing platforms into modern Dataverse, Dynamics 365, Power Platform and cloud architectures.

DATA MIGRATION PIPELINE
Migration Ready
DATA
Legacy → Modern Controlled data transformation
SOURCE SQL • Legacy CRM • Files
→
TARGET Dataverse • D365 • Cloud
Data Assessment Ready
Transformation Validated
Migration Controlled
Validation Verified

Migration designed around data quality, business continuity and future architecture.

A migration is more than moving records. It is an opportunity to clean, structure and modernize the way your organization manages business data.

01

Migration Assessment

Understand source systems, data structures, dependencies, volumes, quality issues and target requirements.

02

Data Mapping

Define source-to-target mappings, transformation rules, relationships and business validation requirements.

03

Data Cleansing

Identify duplicate, incomplete, inconsistent and obsolete data before introducing it into the target platform.

04

Dataverse Migration

Move business data into Dataverse with appropriate relationships, ownership, security and data structures.

05

Dynamics 365 Migration

Support migration scenarios involving Dynamics 365, customer data, activities, cases and related business data.

06

Legacy Modernization

Define a practical modernization path from legacy applications toward modern Microsoft cloud architecture.

Don’t just move old data into a new system.

Modernization gives you an opportunity to reconsider data structures, business processes, integrations, security and reporting before moving into the target architecture.

✓ Source System Assessment
✓ Data Quality Analysis
✓ Data Mapping
✓ Transformation Rules
✓ Relationship Mapping
✓ Migration Validation
✓ Cutover Planning
✓ Post-Migration Support
Migration Lifecycle
01
Discover Understand source systems and data
02
Profile Analyze quality, relationships and dependencies
03
Transform Clean and prepare target-ready data
04
Migrate Execute controlled migration cycles
05
Validate Reconcile and verify business data

Modernize your data landscape around the platforms you need.

DV

Dataverse

Structured business data for Microsoft applications

D3

Dynamics 365

Connected customer and business applications

PP

Power Platform

Apps, automation and analytics

SQL

SQL Server

Modern relational data architecture

AZ

Azure

Cloud data and integration services

API

External Systems

APIs and connected business applications

A controlled migration process from source to target.

01

Discover

Understand systems, entities, data and dependencies.

02

Profile

Analyze data quality, duplicates and structural issues.

03

Map

Define source-to-target mapping and transformation rules.

04

Migrate

Execute iterative migration cycles and controlled cutover.

05

Validate

Reconcile data and verify the target business processes.

Support for every stage of your migration journey.

Migration expertise combined with application architecture.

Data Quality Focus

Identify data issues before they become problems in the target system.

Microsoft Expertise

Experience across Dataverse, Dynamics 365, Power Platform, SQL and Azure.

Controlled Delivery

Use structured migration cycles, validation and reconciliation rather than uncontrolled bulk movement.

Future Ready

Treat migration as an opportunity to improve the target architecture rather than simply reproduce the old system.

Planning a data migration?

Tell us where your data currently lives and where you want to move it. We can help assess the migration, architecture, mapping and modernization requirements.

Common data migration questions.

Yes. A migration can include assessment, mapping, transformation, relationship handling, validation and controlled loading into Dataverse.

Yes. We can assess legacy entities and relationships and define a structured migration approach toward Dynamics 365 and Dataverse.

Data profiling can identify duplicates, incomplete records, inconsistent values and other quality issues that should be addressed during migration planning.

Yes. Relationship dependencies and lookup structures are considered during mapping and migration design.

Yes. Validation can include record counts, field-level checks, relationship verification, business-rule validation and reconciliation.

Yes. Migration can be combined with application modernization, integration redesign and movement toward Power Platform, Dynamics 365 or Azure.