UD4D — Use data for decisions

Unifying 15+ source systems into one governed data warehouse

We consolidated fragmented IT-operations data from many systems into one governed warehouse with reliable, automated daily loads.

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Unifying 15+ source systems into one governed data warehouse

About the client

Global biopharmaceutical company operating across multiple divisions.

The challenge

The client needed to unify fragmented IT operational data from more than 15 systems into a single governed IT data warehouse enabling consistent analytics, master data verification, and self-service.

  • Fragmented operational data spread across 15+ source systems (CMDB, Remedy, ADDM, OEM, SCCM, VCenter, CommVault, Storage Portal, TSOM)
  • Inconsistent, manual, unstable reporting that lacked governance, lineage, and data quality controls
  • Slow and unreliable ingest pipelines, with dashboards duplicating logic
  • Divisions using different KPIs, preventing a single consistent view

The solution

UD4D led the design and delivery of the enterprise data warehouse platform.

  • Definition of a unified EDW architecture (Stage, Integrated, Access, Data Mart)
  • Standardization of 20+ ingest pipelines with daily automated loads
  • Design of the integrated layer using the Life Science Data Model and FIRST model
  • Implementation of a data quality framework (completeness, accuracy, integrity)
  • Delivery of data marts for enterprise service data, IT operations, master data verification, backup, and application fit
  • A governed access model with secure containers for sensitive data, deployment automation, and self-service exploration via Alteryx

Business impact

  • 15+

    source systems unified

    Fragmented IT operational data from more than 15 systems was consolidated into a single governed EDW with 40+ enterprise widgets and 300+ standardized KPIs.

  • 80%

    faster deployment

    Deployment time was reduced by 80% through end-to-end automation, and ingest time dropped from days or weeks to 2 to 6 hours.

  • 99.8%

    pipeline stability

    Automated daily loads achieved 99.8% pipeline stability while cutting manual reconciliation by more than 50%.

  • 3x

    higher self-service adoption

    Self-service exploration adoption tripled, with reporting inconsistencies reduced by 60% and onboarding of new sources accelerated by 70%.

Frequently asked questions

What did the client need?

To unify fragmented IT-operations data from more than 15 systems into a single governed data warehouse enabling consistent analytics, master-data verification and self-service.

What did UD4D deliver?

A unified EDW architecture (Stage, Integrated, Access and Data Mart layers) with 20+ standardized daily ingest pipelines, an integrated layer based on the Life Science Data Model and FIRST model, and a data-quality framework.

Which technologies were used?

Teradata, a Hadoop data lake, PowerDesigner, Git, PDC/UDI and Alteryx for self-service exploration.

What were the results?

More than 15 source systems consolidated (40+ enterprise widgets, 300+ standardized KPIs), 80% faster deployment, 99.8% pipeline stability and a tripling of self-service adoption.

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