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Innowise built a solid cloud-based solution for a climate innovation organization, making data migration and integration smoother, and leveling up ESG reporting.
Our client is one of the leading European organizations that provide consulting services to help businesses implement sustainability policies and integrate sustainable practices into their operations.
Les informations détaillées sur le client ne peuvent être divulguées en vertu des dispositions de la NDA.
The client faced several hurdles with their legacy data systems, mostly managed through Talend. This setup limited flexibility and fell short in supporting their sustainability reporting goals. To tackle these issues, they needed a scalable, cloud-native architecture to improve data management, cut costs, and support both internal reporting and advanced analytics for sustainability and ESG (Environmental, Social, and Governance) metrics. That’s when they reached out to the Innowise team for help. The main project challenges included:
Innowise put together a complete data migration and integration solution that covered all the client’s needs. We moved key data workflows from Talend to Azure Functions, linked up with Snowflake for advanced data processing, and upgraded their ESG reporting — providing everything required for smooth data management and keeping tabs on sustainability.
Our business analyst and ESG analyst worked closely with the client’s team to dig deep into their requirements. We focused on understanding exactly what data needed to be migrated from their legacy Talend system and which workflows were a priority. By getting a clear picture of their ESG reporting needs, we made sure the solution would capture all key metrics for accurate, transparent reporting.
Our team also set long-term scalability goals to handle future growing volume of data for tracking analysis, designing a flexible architecture from the start.
Innowise’s team developed custom Azure Functions that automatically pull data from the client’s legacy system via SFTP and APIs. We set up scheduled triggers to keep data transfers on track with their ESG reporting cycles. To make sure the entire process goes as smoothly as possible and all errors are resolved quickly, our experts integrated Azure Application Insights.
Thanks to the serverless architecture, costs stayed low as resources were only used during data processing. Unlike traditional setups, there were no idle servers running up expenses.
We used Snowflake as the core platform for data storage and analytics and created staging tables to manage and organize incoming data before it underwent deeper processing. Azure Functions handled the first round of data transformations. On other hand, Snowflake took on the more complex processing with SQL scripts, shaping the data to match ESG and sustainability metrics and ensuring it met reporting standards. Additionally, we built data pipelines to store historical data, which supported trend analysis and provided the client with a clear view of their sustainability impact over time.
To facilitate smooth exchange of data, we integrated several third-party systems into the data migration setup:
To support the client’s sustainability goals, our team put together a solid data architecture that makes sure their ESG reporting is clear and accurate. Our solution included a few crucial parts:
We kept your data safe by using encrypted SFTP connections and Snowflake’s rock-solid security features. Every data transfer to and from Snowflake was fully GDPR-compliant, which is crucial for handling sensitive HR and ESG information. Plus, our security experts set up role-based access control (RBAC) in Snowflake, so only the right people could access or update ESG metrics.
Programming Languages and Frameworks
.NET, SQL
Services en nuage
Azure Functions, Azure Application Insights
Data Warehousing
Snowflake
Data Transfer Protocols
SFTP
Surveillance et journalisation
Moniteur Azure
Visualization Tools
Power BI
VCS
Git, GitHub
Test
NUnit
We managed the project using Agile, breaking it down into clear, manageable phases to stay efficient and in sync with client goals. Each phase was carefully planned, executed, and reviewed with the client. Thanks to regular sprints and continuous integration, we kept things moving and quickly adjusted to feedback. Our project manager held weekly check-ins to share updates, answer questions, and get approvals at key milestones. This structured approach kept us on track, reduced risks, and helped us deliver high-quality results right on time, hitting the client’s expectations perfectly.
1
Chef de
projet
1
ESG Analyst
1
Analyste
commercial
2
Ingénieurs en données
1
Architecte de l'informatique en nuage
1
ESG Consultant
1
Ingénieur
QA
The project has already delivered significant results, putting the client on the fast track to hit their sustainability goals. By switching to Azure Functions, the client boosted data processing efficiency by 30%, sped up data flows and reduced time-to-insight. The Snowflake integration provided real-time access to critical ESG metrics, which increased reporting accuracy by 25% and improved compliance and transparency.
The serverless setup also slashed operational costs by 20%, giving the client a scalable, budget-friendly solution ready to grow with future needs. Now, they’re set up to make smarter, data-driven decisions and continue advancing their climate innovation efforts.
In the next phase, the client plans to add predictive analytics with machine learning for ESG forecasting, integrate IoT for sharper data collection, and adopt AI-powered compliance monitoring to stay on top of evolving ESG rules.
30%
boost in data processing efficiency
20%
reduction in operational costs
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