Data Shift End-to-End Data Migration
Data migration is a complex and high-impact initiative that goes far beyond simply moving information from one system to another. It’s about ensuring the right data is moved in the right way to support critical business operations and future growth. Through our experience, we’ve learned valuable lessons and developed proven strategies to overcome common challenges.
Services of Data Data Shift End-to-End Data Migration
Elite Eikan’s Data Profiling & Transformation service is designed for organisations preparing for ERP migrations or undergoing major system transitions. This service is ideal when businesses need to gain a clear, actionable understanding of their existing data landscape and ensure their data is structured, cleansed, and transformed for successful migration.
Data Landscape Analysis
Map your data environment, including source and target systems, interconnections, structures, relationships, and risks, ensuring a clear understanding before ERP migration begins.
Identify duplicates, inconsistencies, and outdated records. Define clear quality rules for all datasets to ensure ERP data meets required standards.
Data Cleansing, Verification Assurance
Cleanse data automatically and manually, correcting errors, filling gaps, and ensuring completeness, reliability, and accessibility before, during, and after ERP migration.
Data Impact Analysis & Risk Mitigation
Analyze how data changes affect systems and processes, proactively identifying risks to maintain continuity and prevent disruption after migration.
Standardize, transform, and enrich data to match ERP rules and governance, applying intelligent mappings and validations for business-ready information.
Validation & Business-Ready Assurance
Validate transformed data against business and system rules, ensuring accuracy, preventing load failures, and preparing data for smooth ERP go-live.
Elite Eikan's DataShift End-to-End Data Migration Framework
We use a structured, end-to-end approach to analyze, cleanse, transform, and validate your data, ensuring it is accurate, business-ready, and fully prepared for seamless ERP migration.
01
Extraction
Extracting source data while using automated profiling to detect issues and anomalies early.
02
Profiling
Analysing data for structure, completeness, and consistency to identify hidden errors like duplicates and missing values.
03
Conversion
Reshaping and mapping data to fit the target system’s structure and business rules.
04
Readiness Validation
Validating the transformed data against business rules to ensure its accuracy and readiness before loading.
05
Load
Loading the approved data into the target system using secure, automated, and tracked cycles.
06
Validade & Go-Live
Performing final automated validation and reconciliation to confirm data integrity and secure business sign-off.
Feature Capabilities
Clear Outcomes for Your ERP Roadmap
Our ERP Strategy & Roadmap service provides tangible results that guide your organization from planning to execution. Each deliverable is designed to align business and IT, minimize risks, and ensure a structured, phased approach to ERP implementation.
Business and IT Alignment Workshops
Collaborative sessions that bring business and IT teams together to define objectives, priorities, and ERP expectations.
Current-State ERP and Application Assessment
A thorough analysis of existing systems, processes, and applications to identify gaps and improvement opportunities.
ERP Platform & Deployment Advisory
Expert guidance on selecting the most suitable ERP platform and deployment approach on-premise, cloud, or hybrid.
Target-State ERP Architecture Design
Blueprinting the desired ERP structure to ensure scalability, efficiency, and alignment with business goals.
Implementation Roadmap & Milestones
A detailed, step-by-step roadmap that outlines key implementation stages, deadlines, and measurable milestones.
Risk, Cost, and Change Impact Assessment
Evaluation of potential risks, financial implications, and organizational changes to ensure smooth adoption and ROI.
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FAQs
Find clear answers to common questions about our approach, services, and how we help organisations achieve measurable technology outcomes.
Key data migration challenges include data quality issues, system compatibility, insufficient
planning, data loss or corruption, and maintaining data security and compliance during the
migration process.
Businesses should implement backups, use encryption, and conduct testing. These steps ensure
data security and integrity throughout the migration process.
Due to unforeseen issues, cost overruns and timeline delays are common data migration
challenges. Establishing realistic budgets, defining clear objectives, and having a contingency
plan can help keep projects on track.