Oracle Analytics Consulting Services
Customer success story
Digital out-of-home (DOOH) media provider modernized digital analytics
Database modernization accelerated display yield.
Pythian migrated the leading out-of-home media provider to Oracle Autonomous Data Warehouse 23ai to power and commercial analytics.
A prominent out-of-home media provider encountered critical processing delays across 8,000 billboard sites as rapid digital growth generated 86.4M daily ad plays, causing overnight batch loads to overrun and leaving operations teams struggling to verify campaign delivery. The company partnered with Pythian to eliminate pipeline failures, establish proper environment separation, and build a trusted data foundation for digital-out-of-home (DOOH) analytics. Pythian modernized the core data platform by migrating workloads to Oracle Autonomous Data Warehouse 23ai, hardening Oracle Data Integrator pipelines, and simplifying the Oracle Analytics Cloud semantic layer. The structural upgrades restored load predictability, streamlined proof-of-play verification, and empowered sales and operations teams to interrogate trusted performance metrics through self-service dashboards.
The engagement produced a stronger foundation for proof-of-play reporting, self-service analytics, and future commercial optimization."
Senior Vice President, Data Strategy & Analytics
Leading Out-of-Home Media Provider
86.4M
Daily ad plays processed
4
Business functions unified
8K
Billboards consolidated
Upgrade your legacy infrastructure to high-performance cloud data architectures.
Scaling to 8,000 billboard sites overwhelmed daily ETL pipelines.
Pythian re-engineered data pipeline architecture, migrated the core warehouse to ADW 23ai, and implemented Git-based deployment controls.
Pythian helped establish a stronger data and analytics foundation, moving from reliable data capture to analytics that support better operational decisions."
Senior Vice President, Data Strategy & Analytics,
Leading Out-of-Home Media Provider
Overnight ETL batches overran and caused system failures
Unconsolidated CSV display logs from 8,000 billboard locations caused unpredictable batch delays that stalled daily execution schedules and triggered pipeline crashes.
Poor instrumentation delayed root-cause diagnosis
Database and ETL workflows lacked detailed runtime logging, leaving engineers unable to isolate processing bottlenecks or identify failing data transformers during nightly runs.
Fragmented subject areas restricted self-service BI
Non-standardized data models in Oracle Analytics Cloud forced non-technical business teams to rely entirely on BI specialists to write custom queries for basic proof-of-play validation.
Manual releases increased error and downtime risks
Engineers manually promoted database scripts into production without version control, automated testing, or isolated DEV and TEST environments.
How it works
- 01 Pipeline hardening
- 02 Warehouse modernization
- 03 Governed self-service analytics
- 04 CI/CD governance
Re-engineered data pipelines to eliminate batch overruns and restore load predictability.
Pythian audited Oracle Data Integrator and OCI workflows, introducing granular logging and parallelized execution. The optimizations resolved overnight batch overruns, established reliable error handling, and gave operational teams full visibility into pipeline status. Automated log ingestion restored advertiser confidence by instantly reconciling planned versus actual ad plays and accelerating dispute resolution.
Migrated legacy databases to Autonomous Data Warehouse 23ai with zero data loss.
The team executed a zero-loss migration from ATP 19c to ADW 23ai via timed dry runs, parallel ETL, and full reconciliation. The direct consolidation brought log ingestion across 8,000 billboard sites into one performant instance while establishing isolated DEV and TEST environments. Merging operational and audience data created a single source of truth to track inventory occupancy and refine pricing strategies.
Streamlined semantic models in Oracle Analytics Cloud to enable secure self-service reporting.
Pythian restructured OAC subject areas, introduced common dimensions, and transitioned semantic modeling to browser-based, Git-integrated workflows. Standardized data models provided Sales, Revenue, Operations, and Media Planning teams with direct access to self-service analytics. Unified semantic modeling simplified dashboard navigation, shortened the time from question to insight, and drastically reduced routine ad-hoc reporting pressure on the core BI team.
Standardized development lifecycles around automated testing and version control.
The Engineering team formalized workflows using Jira-linked tickets, GitHub source control, feature branching, and automated deployment scripts. Standardized releases established full traceability, eliminated manual errors, and reduced environment risk.
Re-engineered data pipelines to eliminate batch overruns and restore load predictability.
Pythian audited Oracle Data Integrator and OCI workflows, introducing granular logging and parallelized execution. The optimizations resolved overnight batch overruns, established reliable error handling, and gave operational teams full visibility into pipeline status. Automated log ingestion restored advertiser confidence by instantly reconciling planned versus actual ad plays and accelerating dispute resolution.
Migrated legacy databases to Autonomous Data Warehouse 23ai with zero data loss.
The team executed a zero-loss migration from ATP 19c to ADW 23ai via timed dry runs, parallel ETL, and full reconciliation. The direct consolidation brought log ingestion across 8,000 billboard sites into one performant instance while establishing isolated DEV and TEST environments. Merging operational and audience data created a single source of truth to track inventory occupancy and refine pricing strategies.
Streamlined semantic models in Oracle Analytics Cloud to enable secure self-service reporting.
Pythian restructured OAC subject areas, introduced common dimensions, and transitioned semantic modeling to browser-based, Git-integrated workflows. Standardized data models provided Sales, Revenue, Operations, and Media Planning teams with direct access to self-service analytics. Unified semantic modeling simplified dashboard navigation, shortened the time from question to insight, and drastically reduced routine ad-hoc reporting pressure on the core BI team.
Standardized development lifecycles around automated testing and version control.
The Engineering team formalized workflows using Jira-linked tickets, GitHub source control, feature branching, and automated deployment scripts. Standardized releases established full traceability, eliminated manual errors, and reduced environment risk.
Optimize your high-throughput data pipelines to drive operational scale.
Maximizing the full power of the Oracle Cloud Ecosystem.
As a Premier Oracle Partner, Pythian modernizes complex enterprise infrastructure to scale performance.
As an Oracle Partner, Pythian's certified database consultants modernize complex enterprise infrastructure to streamline data pipelines, migrate core workloads, and unlock production-ready analytics across Oracle Cloud Infrastructure.
.svg){kind=small}
.svg){kind=small}