Inspiration
Leverage AI/Analytics to reduce environmental footprint namely energy, water, emission and waste to achieve corporate sustainability goals
What it does
The comprehensive list of datasets from different stakeholders belongs to organization unit across different businesses under a corporate have to be manually gathered, integrated with different systems, processed, validated and reported periodically. The data available in electronic form, IT systems or regulatory authorities are the sources and forms the basis to perform analytics and corporate reporting.
How we built it
Built using Microsoft Power Platform - Power Apps, Power Automate, Power BI to enable data gathering, validation and integrated and Cognitive Services are used to perform intelligent data processing from documents.
Challenges we ran into
- Human error in data gathering
- No traceability and audit trails of data
- Time consuming process to validate and aggregate data
- Easy and convenient way to access reports
- Advanced analytics to prediction
- Gathering data from documents
Accomplishments that we're proud of
Specific to Energy Data for a large manufacturing unit are accomplished
- Enabled Power Apps platform to prevent error in data gathering
- Enabled data lineage across the value chain of data gathering aggregation, validation and reporting
- Workflow enabled for creation, modification, reviews and approval across the value chain
- Advanced analytics and reporting for corporate
- Proof of value for intelligent document processing to avoid manual efforts and errors
What we learned
- Rich features of Power Platforms and Cognitive Services to enable Sustainability Data Analytics Platform
What's next for Sustainability Data Analytics and Reporting
- Enhance the solutions to 9 manufacturing units for data analytics and reporting for Energy, Water, Waste and Emission in next 4 months
- Production grade implementation of intelligent document processing
- Self-service corporate sustainability reporting for CxO
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