Consumer Goods
North America
End to End Project Lifecycle Management
Discover how our team helped a global consumer goods corporation go from fragmented ESG data and low ratings to integrated, real-time reporting and improved sustainability performance.
Learn more in this case study on enhancing your ESG (environmental, social, and governance) tracking and boosting your sustainability ratings.
Problem 1: Fragmented Data Systems
Each global office used different platforms for ESG data collection, resulting in fragmented data that couldn’t be easily integrated or compared. Every stakeholder involved in the process was not able to get relevant information in one place.
Why it’s relevant:
Fragmented data from multiple sources(ecommerce sites, customer queries, feedback, leading trends) hindered the company’s ability to have a unified view of its ESG performance, leading to inconsistent reporting.
How we overcame it:
Experts at DataToBiz developed standardized ESG data collection templates to ensure consistency and accuracy across all global offices.
Problem 2: Manual Reporting Hazards
The company’s reliance on manual data entry for ESG metrics caused delays and inaccuracies, leading to discrepancies in quarterly reports.
Why it’s relevant:
Manual processes were time-consuming and prone to human error, affecting the reliability and timeliness of ESG reports.
How we overcame it:
Our development team created a few custom Power BI dashboards that automated data aggregation and visualization, providing real-time insights into ESG performance.
Problem 3: Complex Regulatory Set-up
ESG analytics is booming, so with current trends, regulations, and changing industry standards, the client needed help to keep up with diverse and frequently changing ESG regulations across various countries, risking non-compliance and potential fines.
Why it’s relevant:
Non-compliance with ESG regulations could result in financial penalties and damage to the company’s reputation.
How we overcame it:
We created a dynamic compliance framework tailored to the client’s global footprint, enabling them to adapt quickly to regulatory changes.
Problem 4: Underperforming ESG Metrics
The client identified gaps in key areas like carbon footprint measurement and waste management, leading to lower ESG ratings from evaluators such as GRI and SASB.
Why it’s relevant:
Low ESG ratings could affect the involved investors and external stakeholders, affecting the company’s market reputation and investment potential.
How we overcame it:
We designed targeted ESG improvement plans under our ESG tracking and sustainability analytics strategies with clear, actionable steps to address these underperforming areas.
Problem 5: Stakeholder Dissatisfaction
Investors and other stakeholders expressed vague dissatisfaction with the need for more transparency and time-framing in ESG reporting, impacting the company’s market reputation.
Why it’s relevant:
Dissatisfied stakeholders could decrease investor confidence and support, affecting the company’s reputation management.
How we overcame it:
Our team developed robust communication protocols and reporting tools to up transparency and keep stakeholders informed with timely, accurate ESG data.
Data Ingestion Layer
Data Integration Tools: ETL/ELT tools (e.g., Informatica, Talend, Airbyte) to extract data from various sources.
Data Processing Layer:
Data Catalog: Metadata management tool (e.g., Amazon Glue, Azure Purview) to manage data definitions and lineage.
Data Analysis Layer:
ESG Compliance Layer:
Stakeholder Engagement Layer:
Reporting Tools: Interactive reporting tools (e.g., Power BI, Tableau) for various stakeholder groups.
Collaboration Tools: Platforms for communication and collaboration (e.g., Microsoft Teams, Slack).
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
