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Impactly

Impactly is an intelligence platform designed to make private company data accessible, structured, and actionable. The platform collects unstructured data from public and private sources, then turns it into actionable insights for every need, such as business intelligence, counterparty risk assessment, and analytics for investors and corporates. As a result, Impactly enables organizations to analyze companies, monitor risk, and manage portfolio data efficiently with secure, scalable infrastructure.

POPULAR FEATURES

ESG Tracking

Provides a live view of the environmental, social, and governance matrix to help executives track performance and identify areas of attention.

Data Integrations

Automatically gathers information from various sources to remove the hassle of disconnected systems and complex spreadsheet tasks.

Real-Time Analytics

Easily visualize company states, ESG scoring, relevant summaries, industry best practices, and recommendations all in one dashboard.

PROJECT REQUIREMENT

Impactly required a centralized platform to manage fragmented ESG data to provide clear insights to organizations and investors.

The system must collect and manage a wide range of ESG metrics such as energy consumption and workforce indicators.
Automated compliance reporting is needed to keep up with global regulations and reporting standards.
Develop a flexible system that can support the manufacturing, finance, and investment industries.
The system should include enhanced ESG supplier risk assessment, custom investment due diligence workflows, and improved ESG score screening.

OUR APPROACH

Our development approach focused on building a reliable foundation to handle complex ESG data for Impactly.

Backend First

We built a strong backend using Django and PostgreSQL to handle complex data processing before adding dashboards and reporting.

Agile Methodology

We broke tasks into manageable subtasks, which allowed us to collect feedback promptly and minimize the risk of major rework.

Parallel Development

Multiple teams can work independently on modules before seamlessly integrating dashboards, report engines, and data.

Workflow Retrospectives

Biweekly reviews identified bottlenecks and improved performance with background tasks, Celery, Redis, and Docker environments.

PROJECT SUCCESS

We successfully delivered an ESG platform that replaced spreadsheets and manual reporting with automated workflows.

Centralized ESG data in a secure cloud-based platform to make information easily accessible for organizations.
We developed a Django backend along with a PostgreSQL database to effectively manage ESG data.
Data collection and analysis work is also automated, which saves manual labor by up to 80 percent and improves operational efficiency.
Compliance ready templates were used to streamline reporting, which facilitated faster and more accurate regulatory reporting and internal audits.
Data integration and standardization made it possible for organizations to view ESG data consistently across different sources.