IBM Db2 Consulting Services
Case study
Retailer strengthened inventory control with IBM Db2 modernization
Modernizing Db2 to Snowflake delivered live tracking.
Pythian modernized an 18TB database to Snowflake, automating stock balancing to resolve supply visibility gaps.
As market demand accelerated, the global retailer's legacy IBM Db2 data estate was overwhelmed by new supply chain volumes, creating silos that stalled modern analytics. Critical inventory and logistics reports took 24 hours to process, forcing teams to reactively struggle with stock shortages. The retailer collaborated with Pythian to stabilize its dual-variant legacy database estate, refactor 412 legacy stored procedures, and safely migrate workflows to a high-concurrency Snowflake architecture. This seamless technical shift secured $3.1M in annual infrastructure savings by eliminating heavy on-premise licensing fees. Furthermore, the upgrade freed logistics coordinators from manual verification loops—driving an 85% reduction in manual inventory audits—and allowing teams to instantly see and shift warehouse stock to match real-time buying patterns.
Pythian's dual fluency in IBM Db2 architectures and Snowflake cleared the technical roadblocks that typically stall large enterprise migrations. Our supply chain teams now instantly balance regional warehouse stock to prevent stockouts and protect our competitive edge."
VP of Logistics Infrastructure
Global Retail Enterprise
$3.1M
Annual infrastructure savings
85%
Reduction in manual inventory audit
412
Legacy stored procedures automated
Accelerate your transition from sandbox testing to live operational reality.
Legacy database failures cost the global retailer severe supply chain delays.
Pythian migrated the dual-variant IBM Db2 estate to a Snowflake data warehouse with real-time ingestion and secure data governance.
Surging multi-region data volumes stalled our legacy databases and turned critical inventory checks into blind spots. Pythian stabilized our underlying pipelines and replaced batch runs with live analytics to secure instant cross-channel tracking."
VP of Logistics Infrastructure
Global Retail Enterprise
Retirements risked operational continuity
Senior database specialists announced retirement within a tight 12-month window, leaving the internal IT team without technical bench depth to maintain legacy IBM environments.
Batch architectures delayed data
Outdated IBM DataStage extraction pipelines delayed access to critical supply chain data, leaving logistics teams blind to inventory levels until a full day later when final reports were completed.
Legacy clusters blocked cloud agility
The existing on-premise Db2 pureScale cluster relied on undocumented hardware that tied the data architecture to physical loops, blocking clean cloud integration.
Hidden procedures choked insight
Over 400 legacy SQL PL stored procedures ran across isolated databases without modern documentation, causing duplicate reporting and blocking analytics access.
Accelerated migration timelines maximized financial returns.
Pythian mapped 18TB of data across IBM Db2 variants to isolate 37 complex SQL PL stored procedures for manual rewrite. The financial modeling proved that moving directly to Snowflake would skip redundant software stages and accelerate time-to-value.
Stabilized critical pipelines eliminated operational blackouts.
Experts launched 24/7 proactive monitoring to shield core DataStage pipelines during critical team transitions. Early health optimizations and locking fixes cut pureScale cluster processing demands by 12% in under 90 days, stabilizing the environment prior to migration.
Migrated legacy code with zero operational friction.
Engineers converted complex data sets from EBCDIC to UTF-8 while mapping legacy security rules directly onto Snowflake’s dynamic data masking. The team then automated 412 stored procedure conversions, integrating Snowpipe ingestion into active logistics workflows with zero downtime.
Deployed real-time visibility to reduce regional stockouts.
Live Looker dashboards now refresh in seconds, letting logistics teams instantly reroute inventory to high-demand regions. Pythian’s continuous managed services safely close the technical skills gap by deploying automated multi-region replication and cloud data governance.
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