Migrating 200+ stored procedures and 1,000+ SSRS reports from legacy on-premises FMCG infrastructure to Microsoft Azure in 20 weeks with zero data loss and 99.9% uptime post-cutover.
In infrastructure and operational overhead post-migration
Success rate across 1,000+ SSRS to Power BI Paginated Reports
From assessment to production cutover
Maintained post-cutover with zero data loss during transition
FMCG
Global
Enterprise — 200+ Procedures, 1,000+ Reports
Q1 2025 - Completed
A large FMCG enterprise operated its entire data platform on aging on-premises infrastructure: 200+ stored procedures running critical business logic, SSAS analytics cubes, and over 1,000 SSRS operational reports. High maintenance overhead consumed significant engineering capacity, manual report distribution created bottlenecks, limited scalability was blocking growth, and single points of failure meant any server issue could halt reporting and ETL operations across the business.
We delivered a complete cloud migration in 20 weeks — migrating 200+ stored procedures with 98%+ success, converting 1,000+ SSRS reports to Power BI Paginated Reports with 30% faster rendering, and rebuilding the entire ETL layer on Azure Data Factory. Post-cutover, infrastructure costs fell 40%, maintenance effort dropped 50%, and the platform maintains 99.9% uptime with automated failure recovery — all with zero data loss through the entire transition.
Migrated 200+ stored procedures to Azure SQL Managed Instance with 98%+ success rate and zero data loss
Converted 1,000+ SSRS reports to Power BI Paginated Reports with 30% faster rendering post-migration
Completed the full digital transformation in 20 weeks from assessment phase through production cutover
Reduced infrastructure costs by 40% through cloud-native pay-as-you-go architecture
Cut maintenance effort by 50% through automated orchestration, monitoring, and patch management
Achieved 25% faster ETL processing after migration from SSIS to Azure Data Factory
200+ stored procedures supported live production operations for an FMCG enterprise — any migration error could halt operations and impact supply chain, inventory, and financial reporting.
Conducted comprehensive compatibility analysis, migrated in phased batches with parallel validation runs, and tested all stored procedure functionality post-migration before decommissioning on-premises systems.
98%+ migration success rate with zero data loss and zero production incidents at cutover
SSRS reports had varied layouts, data sources, parameterisation logic, and subscription configurations — bulk conversion without a structured framework would produce broken reports and block business operations.
Built a systematic conversion framework prioritising reports by business criticality, converting RDL files to Power BI Paginated Report format, updating all data source connections, and validating output against original SSRS versions before go-live.
98%+ conversion success rate with 30% faster rendering and preserved multi-format export support
Multiple internal business units required strict data segregation — a misconfigured security model would expose cross-tenant data and create compliance risk across the organisation.
Implemented Row-Level Security with dynamic user-based filtering, full Azure AD integration, Key Vault-managed secrets, private endpoints, and comprehensive audit logging across all data access paths.
Secure multi-tenant access with full IAM governance from day one post-cutover
The on-premises infrastructure had no high-availability design — server failures directly halted ETL processing and report delivery for the entire business with no failover capability.
Deployed Azure SQL Managed Instance with high-availability configuration, Azure Data Lake Storage as a resilient data tier, and ADF with automated retry logic — eliminating all single points of failure.
99.9% uptime achieved post-cutover with automated failure recovery across all pipeline and reporting layers
Contact our cloud migration specialists to discover how a structured, phased Azure migration can modernize your data infrastructure without disrupting operations.
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