Microsoft Fabric Consulting Services
Case study
Global EOR enterprise accelerated reporting with Fabric
Reengineering legacy databases into Microsoft Fabric restored processing velocity.
Pythian resolved ten years of technical debt to deploy an enterprise-grade analytics workspace.
A global Employer of Record (EOR) enterprise running payroll operations across 30 countries faced extreme data latency from a patchwork of isolated regional databases. The organization confronted a strict 90-day software licensing sunset window with no internal architecture maps or built-in expertise to guide a cloud migration. Pythian consolidated the entire fragmented footprint into an integrated Microsoft Fabric engine utilizing a logical Medallion data lake architecture. The consolidated architecture completely cleared a six-week analytics backlog, freeing corporate data analysts to deliver immediate operational summaries and securing $4M in cumulative platform cost savings.
We were facing a high-risk compliance crisis with a legacy setup that just couldn't keep up with our multi-country operations. Pythian allowed us to pull off a seamless transition and establish a pristine, automated data foundation."
Chief Data Officer
Global EOR Enterprise
$4M
Cumulative platform savings
60%
Faster report render times
30+
Countries unified in system
Accelerate your enterprise analytics to achieve instant operational insights.
Scattered databases and software sunsets stalled global workforce reporting.
Pythian converted legacy database code to automate a rapid migration into a secure lake house foundation.
We had ten years of critical local tax logic locked inside 200-old SSIS packages that nobody had documented. Pythian mapped every hidden dependency and safely translated that procedural code into modern Spark execution with zero unplanned downtime."
Head of Enterprise Architecture
Global EOR Enterprise
Database sprawl delayed compilation
The enterprise ran Synapse SQL pools, ADF, and on-premises SSIS concurrently, forcing teams to perform constant manual data copying.
Siloed data blinded stakeholders
Siloed architectures delayed business updates, leaving corporate stakeholders blind to active international labor costs and metric drifts.
Hidden pipeline code caused errors
More than 200 legacy pipelines lacked centralized execution visibility, creating conflicting revenue reporting metrics across geographic divisions.
Regional rules strained compliance
Operating across 30 countries created complex data residency compliance gaps without automated audit tracking or centralized security rules.
Centralized regional payroll data natively within OneLake.
Pythian consolidated five legacy cloud engines into a single workspace mapped to regional data residency boundaries, eliminating redundant compute pools to deliver $4M in cumulative platform cost savings. Payroll analysts now look at a logical source of truth, completely removing slow, manual cross-region data transfers.
Converted legacy database routines to high-concurrency Spark execution.
Engineers rebuilt over 200 procedural SSIS packages into modern Spark Notebooks and native data pipelines with automated execution tracking and failure monitoring loops. Pipelines now run smoothly on automated schedules to clear data dependencies without human intervention.
Enforced cross-border data protection policies automatically with Purview.
Integrating Microsoft Purview classifications and sensitivity labels directly into the data lake ensures security rules stay with financial documents from ingestion to reporting. Automated policy matching protects regional operational teams from slow, manual compliance reviews across 30 countries.
Eliminated data import cycles using Direct Lake connections.
Deploying V-Order optimization loops and logical shortcuts allowed data engines to stream from OneLake storage, letting Power BI read transactional rows instantly without database refreshes. Leadership now tracks real-time business performance from multi-country teams in seconds instead of hours.
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