Automated Asset & Project Reporting Platform
Transforming Clean Energy Investment Reporting with Automation & Real-Time Insights
A global clean energy investment firm transformed its reporting ecosystem by replacing complex Excel-based processes with an automated, centralized BI platform enabling real-time portfolio insights, improved accuracy, and scalable decision-making.
The Challenge
From Spreadsheet Complexity to Portfolio Intelligence
The firm's reporting infrastructure relied on fragile Excel-based workflows, creating systemic risks across its clean energy investment portfolio.
Excel Dependency
Heavy reliance on Excel with complex formulas created fragile, error-prone reporting workflows across the organization.
→ Single point of failure
Manual Consolidation
Manual consolidation across five separate reports consumed significant analyst time and introduced data synchronization risks.
→ 5 reports merged manually
Calculation Errors
High risk of calculation errors and inconsistencies due to complex nested formulas and manual data entry across spreadsheets.
→ Undetected discrepancies
Time-Consuming Updates
Time-consuming updates and validation processes delayed critical investment decisions and quarterly reporting cycles.
→ Days of manual validation
Lack of Visibility
No centralized visibility across assets and projects made it impossible to get a unified view of portfolio performance.
→ Siloed data views
Portfolio Tracking Gaps
Difficulty in tracking portfolio-level performance metrics across diverse clean energy assets and investment projects.
→ Incomplete portfolio view
The Solution
Solution Architecture
An end-to-end automated reporting platform replacing fragile spreadsheets with real-time portfolio intelligence.
Centralized BI Platform
Domo Platform
Built a centralized BI platform using Domo, consolidating all reporting into a single source of truth for the investment portfolio.
Dynamic Data Input Interface
Domo App Studio
Developed a dynamic data input interface using JavaScript (Domo App Studio), enabling structured data capture with validation.
Structured Questionnaire Capture
Standardized inputs
Captured structured project and asset-level inputs via a guided questionnaire, replacing unstructured spreadsheet submissions.
API-Based Data Integration
Python + Jupyter
Integrated with Domo Jupyter (Python) to fetch API-based JSON data from external systems, automating data collection.
ETL Pipeline Design
Magic ETL
Designed ETL pipelines to cleanse and transform data, standardize calculations, and compute asset, project, and portfolio-level metrics.
Automated Dashboard Delivery
5 dashboards deployed
Delivered 5 automated dashboards for unified reporting with real-time data flow, eliminating all manual dependencies.
Business Impact
Measurable Transformation
Quantifiable outcomes delivered through automation and platform modernization.
Reduction in Manual Reporting Effort
Improvement in Data Accuracy
Faster Report Generation Time
Improvement in Decision-Making Speed
Key Capabilities
Capabilities Delivered
Core platform capabilities enabling automated, scalable clean energy investment reporting.
Automated Data Collection & Ingestion
Seamless data capture from multiple sources with automated validation and ingestion pipelines.
Centralized Portfolio Reporting
Unified view across all assets and projects, replacing siloed spreadsheet-based reporting.
Real-Time Analytics Dashboards
Interactive dashboards with live data refresh, enabling instant portfolio performance monitoring.
Scalable Architecture
Platform designed for future expansion easily onboard new assets, projects, and data sources.
Elimination of Excel Dependencies
Complete removal of fragile spreadsheet workflows, reducing risk and manual effort across the organization.
Technology Stack
Tools & Technologies
Domo
App Studio, Magic ETL, Reporting
JavaScript
App Studio Development
Python
Jupyter Integration
API Integration
JSON Data Feeds
Excel
Legacy System
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