Kanerika is a specialist data migration consultancy and Microsoft Solutions Partner. Our IP-led FLIP accelerators handle ETL migration, BI platform transitions, and RPA modernization, cutting manual effort, licensing costs, and go-live risk across every migration path.
Reduction in Migration Costs
Reduction in Migration Time
Fewer Resources Required
Kanerika’s IP-led accelerator, FLIP, automates your migration with major resource savings, ensuring a faster, lower-risk move to your target platform.
Our data migration services cover the full journey from assessment to go-live. We manage every step of BI, ETL, and automation platform transitions, with FLIP accelerators ensuring speed, accuracy, and zero data loss.
Move from Informatica to Talend, Alteryx, Databricks, or Microsoft Fabric using our ETL migration accelerators engineered for accuracy and minimal disruption.
Migrate from Tableau, SSRS, Crystal Reports, or Cognos to Power BI with connectors that preserve dashboards, datasets, and business logic intact.
Transition from UiPath to Microsoft Power Automate with FLIP’s automated conversion. Workflow logic, exception handling, and business rules carry over.
FLIP is Kanerika's proprietary Intelligent Workflow Automation Platform with accelerators for data migration, ETL migration services, and RPA transitions. Each accelerator automates discovery, conversion, and validation across 12 supported migration paths.
See how enterprises across industries cut costs, reduced timelines, and modernized platforms with Kanerika’s data migration solutions, with documented outcomes from every engagement.
Migration
Migration
Migration
At Kanerika, we leverage the IMPACT methodology to drive successful migration projects, focusing on delivering tangible outcomes.
Every engagement starts with a full assessment of your source environment. Our data migration consultants then design the migration architecture, configure FLIP for your specific path, execute automated conversion with built-in validation, and stay on post-launch for performance monitoring and source system decommission.
Understand Business Goals
Analyze Data & Workflows
Design Sound Solutions
Develop & Deploy Solutions
Ongoing Support
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Understand Business Goals
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Analyze Data & Workflows
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Design Sound
Solutions
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Develop & Deploy Solutions
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Ongoing
Support
As a specialist data migration services company, Kanerika works across a broad technology stack, from Informatica, Tableau, and Cognos on the source side to Microsoft Fabric, Databricks, Power BI, and Talend on the target.
Kanerika holds Microsoft Solutions Partner status for Data and AI, Databricks Consulting Partner certification, and ISO 27001 accreditation. Our FLIP accelerators and data migration consulting team have delivered outcomes across 250+ enterprise engagements.
Kanerika’s data migration consultants have delivered many platform transitions across ETL, BI, and RPA domains, backed by a team of certified engineers
Our IMPACT delivery framework and FLIP accelerators reduce migration timelines by up to 60%, with automated validation built into every stage to minimize go-live risk.
Our dedicated team provides continuous assistance before, during, and after the migration, ensuring a smooth transition and ongoing optimization.
The pivotal partnerships with technology leaders that amplify our capabilities, ensuring you benefit from the most advanced and reliable solutions.
The five most common risks in enterprise data migration are data loss from schema mismatches, business logic gaps in ETL pipelines, migration-related downtime, scope creep from poor pre-migration discovery, and security exposure during data transfer. Most failures trace back to insufficient upfront assessment and manual conversion approaches. Kanerika’s data migration services use automated validation, schema reconciliation, and parallel-run testing to catch issues during migration, not after go-live.
Timeline depends on scope, platform complexity, and whether migration is automated or manual. Simple BI platform migrations take 4-8 weeks with tooling. Mid-complexity ETL migration paths like Informatica to Microsoft Fabric typically run 8-16 weeks automated versus 6-12 months manually. Enterprise data migration projects involving full stack transitions can take 3-9 months. Automated migration consistently delivers 40-60% faster timelines than manual approaches, with significantly lower risk of overrun.
Data migration moves data between storage systems or databases, focusing on accuracy and continuity. Platform modernization is broader. It replaces the underlying data infrastructure, ETL workflows, and analytics tools, converting business logic for the new environment. Cloud migration specifically moves workloads from on-premises to cloud platforms. Most enterprise data migration projects involve all three simultaneously, which is where underplanning creates the most risk and timeline overruns.
Preserving business logic in Informatica-to-Fabric ETL migration requires automated deep extraction from the Informatica repository, full dependency mapping of transformations and workflow chains, and intelligent conversion into Fabric Data Pipelines and Dataflows Gen2. Parallel validation then compares source and target outputs before cutover. Kanerika’s FLIP platform automates 70-80% of this process through the FIRE connector, which extracts complete workflow packages and converts them into Fabric-ready pipelines with transformation rules intact.
Enterprises migrating from Informatica to Microsoft Fabric or Databricks typically see 40-70% reduction in annual licensing costs. Developer productivity improves 30-50% on modern platforms with native automation and low-code data flows. Data processing speeds improve 20-40% with cloud-native distributed compute. Strategic value comes from AI-ready architectures that legacy ETL platforms cannot support. Most organizations reach positive ROI from data migration solutions within 12-18 months of go-live.
Data quality requires controls at three stages. Pre-migration profiling identifies duplicates, nulls, and referential integrity gaps in source systems. During migration, row-count reconciliation and hash-based checksums verify accuracy at each transformation stage. Post-migration, parallel-run periods compare source and target outputs before decommissioning. Poor data quality affects 84% of migrations. FLIP’s built-in validation layer runs automated reconciliation continuously throughout the data migration process, flagging failures in real time rather than post-cutover.
UiPath-to-Power-Automate migration involves workflow inventory and complexity classification, extraction of business rules and exception handling from XAML files, and conversion to Power Automate flows. Not all UiPath workflows have direct Power Automate equivalents, so some require architectural redesign rather than conversion. Kanerika’s FLIP RPA Migration Accelerator automates this translation, preserving all workflow logic and exception handling. Published results include 90-day migrations of 2-year UiPath codebases with 75% reduction in post-migration licensing costs.
Key criteria when evaluating a data migration consultancy include platform-specific expertise for your exact migration path, purpose-built automation tooling rather than manual scripting, a documented methodology for preserving undocumented business logic, and a validation framework that runs during migration. Technology certifications like Microsoft Solutions Partner and Databricks Consulting Partner reflect validated platform depth. Security certifications including ISO 27001 and SOC 2 are non-negotiable when sensitive enterprise data is moving between platforms.
FLIP is Kanerika’s proprietary AI-enabled low-code migration platform. It automates the most time-intensive phases of data migration: discovery, asset extraction, logic mapping, format conversion, and validation. Where traditional ETL migration services rely on developers manually rewriting source configurations, FLIP automates 70-80% of that work. The result is 60-70% reduction in labor cost, faster delivery timelines, and higher accuracy. Post-migration, organizations receive full asset logs, migration reports, and source documentation for all converted assets.
FLIP supports twelve migration paths across data platform, BI, and RPA categories. Data platform paths include Informatica PowerCenter to Microsoft Fabric, Databricks, Alteryx, and Talend; Azure Data Factory to Fabric; and SQL Server and SSIS to Fabric. BI migrations cover Tableau, IBM Cognos, Crystal Reports, and SSRS to Power BI. RPA migration supports UiPath to Microsoft Power Automate. Each accelerator is purpose-built for its specific path, not a generic script applied across platforms.
Kanerika’s data migration services have delivered 30% improvement in data processing speeds, 40% reduction in operational costs, 80% faster insight delivery, and 95% reduction in reporting time. BI migrations achieve up to 80% automation in report conversion with zero data loss. RPA migrations deliver 90-day turnaround on 2-year UiPath codebases and 75% reduction in licensing costs. Organizations using FLIP save an average of 2,485 developer hours compared to manual migration approaches.
FLIP addresses undocumented business logic through three mechanisms. Metadata-level extraction from source repositories captures all mappings, parameters, and dependencies that surface-level workflow review would miss. Dependency graph analysis maps circular references and shared transformation logic before conversion begins. Parallel execution validation compares source and target outputs row by row before cutover. The 20-30% of logic that cannot be automated is reviewed and redesigned directly by Kanerika’s data migration consulting team.
IMPACT structures every data migration engagement across six phases. Initiate covers full source environment inventory and risk assessment. Map defines target architecture and migration waves. Plan configures FLIP and documents edge-case logic. Activate executes automated migration with parallel running for critical workflows. Check runs output reconciliation and business user acceptance testing. Track manages production cutover, rollback triggers, and post-migration monitoring. Skipping the Initiate phase is the leading cause of timeline overruns and post-cutover logic gaps.
Kanerika delivers enterprise data migration programs across banking, insurance, healthcare, pharma, logistics, manufacturing, retail, and automotive. Each industry has distinct priorities: HIPAA compliance in healthcare, FDA 21 CFR Part 11 in pharma, regulatory reporting pipelines in banking, and real-time operational analytics in manufacturing. As a specialist data migration services company, Kanerika builds migration architectures around each sector’s compliance requirements, data volumes, and platform targets rather than applying a generic methodology across industries.
General systems integrators approach data migration as a staffing and project management exercise, where cost and timeline scale linearly with asset volume because the work is manual. Kanerika differs in three ways. FLIP automates 70-80% of conversion work per migration path. Microsoft Solutions Partner and Databricks Consulting Partner status reflects platform-validated depth, not self-claimed expertise. And post-migration governance through the KAN suite activates immediately in the new environment, rather than requiring a separate engagement.
