ESG Reporting Optimization &
CSRD Readiness

For a Global Consumer Goods Company

ESG Reporting Optimization & CSRD Readiness

For a Global Consumer Goods Company

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ESG Reporting Optimization & CSRD Readiness

Customer Context


Enhance ESG reporting while mitigating process gaps

A global manufacturer of consumer and professional products with a market cap of ~$18 billion was looking to enhance its ESG reporting while mitigating process gaps throughout a pending implementation of an ERP system. The enhancements desired by this leading home care brand were improving the timeliness and accuracy of ESG reporting for the current reporting year and beyond.

The Challenge


Absence of a unified ESG data strategy

Tredence was able to identify the following business challenges inhibiting this objective:

1

Lack of automation increases manual workload, therefore, potential for human error, resulting in the 6-month lead time for reporting

2

Lack of comprehensive data governance, policies, and an overarching ESG data collection process:

  • Dependency on institutional knowledge
  • Risk exposure from selective controls
  • Duplicate data managed in multiple systems
  • Confusion from vague Data Ownership details
  • Impaired cross-functional usage from non-optimal data formats

3

Weak source of data compromising user confidence

Addressing these challenges would not only achieve the customer’s desired enhancements to ESG reporting, but also establish best-in-class data, systems, and processes to support current and expected ESG reporting requirements (e.g., CSRD).

Tredence was able to identify the following business challenges inhibiting this objective:

1

Lack of automation increasing increases manual workload, therefore, potential for human error, resulting in the 6-month lead time for reporting

2

Lack of comprehensive data governance, policies, and an overarching ESG data collection process:

  • Dependency on institutional knowledge
  • Risk exposure from selective controls
  • Duplicate data managed in multiple systems
  • Confusion from vague Data Ownership details
  • Impaired cross-functional usage from non-optimal data formats

3

Weak source of data compromising user confidence

Addressing these challenges would not only achieve the customer’s desired enhancements to ESG reporting, but also establish best-in-class data, systems, and processes to support current and expected ESG reporting requirements (e.g., CSRD).


Assessment of ESG reporting

We started with an ESG As-Is Assessment to gain clarity into current ESG reporting processes and identify areas for improvement. Results were categorized as short-term and long-term for the client to know what could be completed alongside the ongoing ERP implementation versus what could be a best-in-class ambition in the long run.

Over 10 weeks, Tredence was able to engage the following resources to compile a thorough understanding of the client’s ESG data collection and reporting landscape:

Metrics


3

Sections

122+

Individual Metrics

14

Metrics Grouping

Files


500+

Excel Files

40+

Data Source

30+

End Reports

SME's


70+

Client Team Member

25+

SME's

4

Business Team Leads

Key Deliverables


1

Master Data Dictionary

29

Data & Process Flow Chart

10

Output Report & Data Stories

Metrics


3

Sections

122+

Individual Metrics

14

Metrics Grouping

Files


500+

Excel Files

40+

Data Source

30+

End Reports

SME's


70+

Client Team Member

25+

SME's

4

Business Team Leads

Key Deliverables


1

Master Data Dictionary

29

Data & Process Flow Chart

10

Output Report & Data Stories

Our Solution Approach


Creating a digital foundation

From the assessment, Tredence structured a robust digital foundation that ensured consistency across all markets, generated actionable insights, and drove value through predictive insights and simulations.

This foundation would be delivered through the following solution components:

Scalable Data Repository

Industry-standard data foundation framework to help design and development of more digital solutions

Automated Data Pipelines Builds

Data Engineering pipeline connecting sources to the cloud to enable data-driven decisions

Scalable Data Modelling

To establish robust data structuring and relationships for effective analysis and reporting

Data Transformation

To enable strong data orchestration mechanisms

Scalable Data Repository

Industry-standard data foundation framework to help design and development of more digital solutions

Automated Data Pipelines Builds

Data Engineering pipeline connecting sources to the cloud to enable data-driven decisions

Scalable Data Modelling

To establish robust data structuring and relationships for effective analysis and reporting

Data Transformation

To enable strong data orchestration mechanisms

Once the digital foundation was established, best-in-class ambitions could be driven through the following improvements:

ESG Governance and Program Management

Providing end-to-end oversight, coordination, and transparency into all efforts

ESG Strategy

Strategic workstreams that will build off assessment efforts to date and inform a stronger, more actionable vision

ESG Operations & Policy

More automation and features can be onboarded to enhance important workstreams that improve the existing operating models and frameworks

ESG Systems & Quality

Technical workstreams that target the core problem areas and gaps that prevent the client from realizing the full potential of their data capabilities

Business Impact


Automated reporting, in-house analysis, and optimized operations

The solution unlocked the following potential for the customer:

1.

Reduced reporting process timing by up to 75% by including automation during the enterprise-wide ERP implementation phase and introducing data revisions, models, and injection tools.

2.

Manual involvement in reporting was cut by +50% after automation freed up more than 30 resources from the process and reduced the risk of regulatory non-compliance.

3.

Moved 3rd-party analysis in-house to eliminate duplicate work, save costs, and allow for greater customization.

4.

Optimized operations, reporting, and metrics to reduce time, costs, and resources, resulting in quick wins for key performance indicators (KPIs).

The solution unlocked the following potential for the customer:

1.

Reduction in reporting process timing by up to 75% by including automation during the enterprise-wide ERP implementation phase and introducing data revisions, models, and injection tools.

2.

Eliminate manual involvement in reporting by +50% after automation, freeing up more than 30 resources from the process and reducing the risk of regulatory non-compliance.

3.

Movement of 3rd party analysis in-house to reduce double work, save on cost, and introduce greater customization.

4.

Operational, reporting, and metrics optimization reducing time, costs, and resources for quick-win KPI impacts.

Bottom Line


With Tredence's invaluable assistance, the client has successfully determined steps forward for ESG reporting enhancement in ways that align with enterprise-wide initiatives. Tredence continues to strategically consult the client on how to drive data accuracy, productivity improvement, closure of data loss/confusion gaps, and increased efficiency for ESG reporting processes. Tredence’s partnership with the client also clarifies CSRD compliance readiness and technical benchmarking against the ESG reporting of the client’s competitors and industry leaders. We are enthusiastic about our client’s continued progress toward best-in-class ESG reporting and look forward to helping them get there.

Customer Testimonials : The Proof of Our Excellence!

Partners like yourselves at Tredence, and obviously Databricks, Microsoft - when we’re talking about an enterprise of this size, and talking about a transformation of this size, we're really thankful for having great partnerships.

Amlan Maitra

Vice President, Data & Analytics, PepsiCo

Customer Testimonials : The Proof of Our Excellence!

Partners like yourselves at Tredence, and obviously Databricks, Microsoft - when we’re talking about an enterprise of this size, and talking about a transformation of this size, we're really thankful for having great partnerships.

Amlan Maitra

Vice President, Data & Analytics, PepsiCo

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