Manufacturing: Data Governance & Certification

Manufacturing: Data Governance & Certification

6/10/24

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Customer Background

A prominent steel manufacturer with over 10K employees aimed to centralize its data governance processes to provide a cohesive view of operations and performance metrics that leadership could trust.

Project

The project centered on creating a centralized "Command Center" for executives to efficiently access, trust, and leverage operational data and get to critical insights faster.

Outline

The Command Center significantly improved operational efficiency and data quality. Executives now have reliable and quick access to essential metrics, and the central analytics team can ship updates faster.

The Approach

The team began by identifying, prioritizing, and cataloging the most critical reports for executive decision-making through defined Use Cases. Data Governance Playbooks were developed to ensure uniform implementation across teams. Governed Data Assets used AlignAI checklists that data sets go through to be governed with status updates and certifications. Solution Documents provided user enablement resources to increase the context and trust of analytic solutions for executive leadership.

Success Metrics

Command Center utilization improved, with executives now able to access business-critical metrics easier and faster with more confidence. The organization developed and implemented consistent data standards to enhance data-driven decisions and trust in data and metrics. The analytics team saw meaningful operational improvements and a reduction in dependency on ad-hoc data requests.

AlignAI Package

To achieve these results, the company invested in a comprehensive AlignAI package including the AlignAI Platform (Starter license with Playbook Studio, Playbook Library, Use Case Catalog, and Solution Repository), Data Governance Support for assistance in designing robust data standards and governance frameworks that will certify data sets, and Program Management Support for streamlined project and product management processes for the analytics team.

Customer Background

A prominent steel manufacturer with over 10K employees aimed to centralize its data governance processes to provide a cohesive view of operations and performance metrics that leadership could trust.

Project

The project centered on creating a centralized "Command Center" for executives to efficiently access, trust, and leverage operational data and get to critical insights faster.

Outline

The Command Center significantly improved operational efficiency and data quality. Executives now have reliable and quick access to essential metrics, and the central analytics team can ship updates faster.

The Approach

The team began by identifying, prioritizing, and cataloging the most critical reports for executive decision-making through defined Use Cases. Data Governance Playbooks were developed to ensure uniform implementation across teams. Governed Data Assets used AlignAI checklists that data sets go through to be governed with status updates and certifications. Solution Documents provided user enablement resources to increase the context and trust of analytic solutions for executive leadership.

Success Metrics

Command Center utilization improved, with executives now able to access business-critical metrics easier and faster with more confidence. The organization developed and implemented consistent data standards to enhance data-driven decisions and trust in data and metrics. The analytics team saw meaningful operational improvements and a reduction in dependency on ad-hoc data requests.

AlignAI Package

To achieve these results, the company invested in a comprehensive AlignAI package including the AlignAI Platform (Starter license with Playbook Studio, Playbook Library, Use Case Catalog, and Solution Repository), Data Governance Support for assistance in designing robust data standards and governance frameworks that will certify data sets, and Program Management Support for streamlined project and product management processes for the analytics team.