Logic pursuits
Logic pursuits
Cloud Migration and Modernization
We bring platform-agnostic expertise to help you eliminate legacy constraints and be ready for
what’s next.
The greatest migration risk is waiting too long to act.
Legacy platforms rarely become business constraints overnight. Aging ETL tools, unsupported databases, fragmented BI environments, and growing technical debt gradually increase costs, operational risk, and the effort required to deliver new analytics initiatives.
We help you modernize with a structured, platform-agnostic approach that begins with a complete assessment of your current environment before recommending the right destination. Through phased execution, validated migration, and embedded support across ETL, database, BI, and cloud platform modernization, we help you reduce disruption, lower long-term operating costs, and build a modern data environment your teams can confidently own, govern, and extend.
How we
make it possible
Every migration engagement follows the same underlying discipline: inventory and understand the current environment fully before recommending a target state, co-design the migration architecture with the teams who will operate it, and stay embedded through production cutover rather than handing off at the point of highest risk.
- Full inventory of the existing platform estate: systems, tools, pipelines, dependencies, data volumes, and workload profiles
- Compliance and DR/BCP requirement capture
- Stakeholder interviews across business, IT, and data engineering. Gap analysis and risk identification
- Delivered as a structured 3-to-6-week discovery engagement
- Platform selection and target state architecture design based on discovery findings
- Migration wave planning by workload, complexity, and risk
- DR and BCP strategy alignment
- Security, access controls, and compliance framework design
- Resource planning and timeline milestones
- Delivered as a co-designed architecture and roadmap package
- Wave-based migration execution against the agreed roadmap
- Environment setup and readiness checks before each wave
- Data migration and pipeline conversion with parallel-run validation
- Application cutover and post-migration testing
- Business continuity maintained throughout
- Source systems decommissioned on confirmed cutover
- Row-level data reconciliation between source and target systems
- KPI and metric parity validation prior to go-live
- Performance benchmarking against pre-migration baselines
- UAT with business stakeholders
- DR and backup validation
- Sign-off protocol before decommissioning source systems
- Production cutover and hypercare period with embedded support
- Runbook documentation covering operating procedures, monitoring, and incident response
- Knowledge transfer and team enablement sessions
- Legacy system decommission plan executed
- Governance standards and operating model handed over to client teams
Multiplying outcomes for your business
Migration Assessment and Readiness
Assess your existing platform estate to identify dependencies, compliance requirements, and migration risks. Gain a clear modernization roadmap and platform recommendation your leadership can move forward
with confidently.
Cloud Data Warehouse Migration
Migrate legacy or on-premise data warehouses to Snowflake, Databricks, or other cloud-native lakehouse platforms. Complete the transition through platform selection, validated production cutover, and legacy system decommissioning with minimal business disruption.
Legacy ETL and Pipeline Migration
Modernize SAP Data Services, Informatica, SSIS, Talend, or custom SQL pipelines with cloud-native alternatives. Execute wave-based migrations with parallel-run validation to ensure zero data loss and uninterrupted
business operations.
Database Platform Modernization
Modernize aging SQL Server, Oracle, and other on-premise databases to secure, cloud-ready platforms. Improve performance while aligning disaster recovery, business continuity, and compliance requirements
from the outset.
BI Estate Modernization
Consolidate fragmented Tableau, Business Objects, and legacy BI environments into a governed Power BI or cloud-native analytics platform. Rationalize your BI portfolio upfront to reduce migration effort before a single asset is moved.
Helping your leaders accelerate decisions
Impact tailored for your industry
Retire legacy ETL tooling and fragmented BI environments across large-scale hospitality operations. Leverage our proven experience in migrating SAP Data Services, modernizing Salesforce integrations, and consolidating Tableau to Power BI environments, all while maintaining full business continuity through cutover.
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Modernize fragmented SQL Server and legacy database environments by migrating to secure, cloud-ready platforms. Reduce compliance and security risks from aging, unsupported systems while improving disaster recovery, business continuity, and long-term scalability.
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Consolidate legacy data warehouses and reporting environments into a governed, SOX-compliant cloud platform. Migrate rights, royalty, and financial data from fragmented source systems to a unified architecture that enables near real-time reporting.
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Migrate on-premise reporting environments and ERP-connected pipelines to cloud-native platforms. Replace manual SQL and ETL processes with governed, testable pipelines that improve data consistency across funds, reduce reconciliation effort, and support audit and regulatory reporting.
Modernize legacy data infrastructure supporting clinical, regulatory, and operational reporting. Execute migrations with compliance requirements embedded from the outset, creating a scalable foundation for reliable reporting and future growth.
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Retire legacy on-premise data warehouses and ETL tooling across manufacturing and supply chain operations. Migrate to cloud-native platforms that support real-time operational reporting, demand forecasting, and scalable data engineering without the maintenance overhead of legacy infrastructure.
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Results you can count on
Data and analytics engagements delivered
Annual licensing cost eliminated
BI assets consolidated into Power BI
Increase in data throughput
Faster query performance
SLA adherence achieved
