High-performance AI Solutions for Complex Challenges

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Case Study

Unify Carbon Data

Easily Extract, Organize, and Aggregate data across Scope 1, 2 and 3

Overview

A leading global pharmaceucal manufacturer that has 14+ manufacturing plants and 6 R&D centers aims to lead its category in sustainability and align with increasing investor and customer demand for transparency on carbon missions.

Challenges

Emission-producing activities spread across the value chain globally

Data in silos and multiple formats, particularly scope 3 data

Increasing double materiality reporting requirements that require holistic data for reporting

Viridium.AI Solution(s) Used

  • Data mesh to automate the collection of structured data across various lines of business
  • Automated data pipelines that selectively use Gen-AI for classification on and categorization
  • Customizable dashboards and regulations reporting engine to automate reporting needs

Results

Data across 14 manufacturing plants and all the direct and in-direct emission categories (scope 1, 2, and 3) unified in one single view (+productivity, +risk mitigation, +TCO)

Sustainability and Investor relationship managers can now access Carbon emissions data on-demand via dashboards conversational co-pilots and inline report builders (+productivity, + me-to-value)

We were amazed by the speed at which the data appeared on the dashboards. We can now use it on-demand and answer stakeholder questions instantly.

VP,
Head of Corporate ESG

Key Takeaways:

Viridium.AI’s platform solved 3 critical needs
  • Customer data (both structured and unstructured) was siloed, incomplete, and did not provide enough value back to key stakeholders despite massive investments in data infrastructure (ITOT/ERP/front and back office software)
  • Internal data lacked enrichment from industry standards and framework
  • Non-technical teams were unable to query and gain access to insights. This strategic approach laid the groundwork for strategic expansion and AI transformation.
Case Study

Unify Carbon Data

Easily Extract, Organize, and Aggregate data across Scope 1, 2 and 3

Overview

A leading global pharmaceucal manufacturer that has 14+ manufacturing plants and 6 R&D centers aims to lead its category in sustainability and align with increasing investor and customer demand for transparency on carbon emissions.

Challenges

Emission-producing activities spread across the value chain globally

Data in silos and multiple formats, particularly scope 3 data

Increasing double materiality reporting requirements that require holistic data for reporting

Viridium.AI Solution(s) Used

  • Data mesh to automate the collection of structured data across various lines of business
  • Automated data pipelines that selectively use Gen-AI for classification on and categorization
  • Customizable dashboards and regulations reporting engine to automate reporting needs

Results

Data across 14 manufacturing plants and all the direct and in-direct emission categories (scope 1, 2, and 3) unified in one single view (+productivity, +risk mitigation, +TCO)

Sustainability and Investor relationship managers can now access Carbon emissions data on-demand via dashboards conversational co-pilots and inline report builders (+productivity, + me-to-value)

We were amazed by the speed at which the data appeared on the dashboards. We can now use it on-demand and answer stakeholder questions instantly.

VP,
Head of Corporate ESG

Key Takeaways:

Viridium.AI’s platform solved 3 critical needs

  • Customer data (both structured and unstructured) was siloed, incomplete, and did not provide enough value back to key stakeholders despite massive investments in data infrastructure (ITOT/ERP/front and back office software)
  • Internal data lacked enrichment from industry standards and framework
  • Non-technical teams were unable to query and gain access to insights. This strategic approach laid the groundwork for strategic expansion and AI transformation
Case Study

Unify Carbon Data

Easily Extract, Organize and Aggregate data across Scope 1, 2 and 3

Overview

A leading global pharmaceucal manufacturer that has 14+ manufacturing plants and 6 R&D centers aims to lead its category in sustainability and align with increasing investor and customer demand for transparency on carbon emissions.

Challenges

Emission-producing activities spread across the value chain globally

Data in silos and multiple formats, particularly scope
3 data

Increasing double materiality reporting requirements that require holistic data for reporting

Viridium.AI Solution(s) Used

  • Data mesh to automate the collection of structured data across various lines of business
  • Automated data pipelines that selectively use Gen-AI for classification on and categorization
  • Customizable dashboards and regulations reporting engine to automate reporting needs

Results

Data across 14 manufacturing plants and all the direct and in-direct emission categories (scope 1, 2, and 3) unified in one single view (+productivity, +risk mitigation, +TCO)

Sustainability and Investor relationship managers can now access Carbon emissions data on-demand via dashboards conversational co-pilots and inline report builders (+productivity, + me-to-value)

We were amazed by the speed at which the data appeared on the dashboards. We can now use it on-demand and answer stakeholder questions instantly.

VP,
Head of Corporate ESG

Key takeaways

Viridium.AI’s platform solved 3 critical needs

  • Customer data (both structured and unstructured) was siloed, incomplete, and did not provide enough value back to key stakeholders despite massive
  • investments in data infrastructure (ITOT/ERP/front and back office software)
  • Internal data lacked enrichment from industry standards and framework
  • Non-technical teams were unable to query and gain access to insights. This strategic approach laid the groundwork for strategic expansion and AI transformation.