The main obstacle to Environmental, Social, and Governance (ESG) is data. ESG needs more data from more sources than organizations usually collect. Many organizations have analytics engines that can handle structured and unstructured data, but few have systems specifically for ESG data. This means that while the need for ESG data is growing, getting it quickly is a problem. The main challenges are limited data availability, isolated data management methods, and difficulty processing complex and unstructured data. Industry benchmarks, data normalization, metrics, and calculations also differ greatly, which makes modeling difficult and complicates clear and consistent reporting by business teams.

Business sustainability has become an extraordinarily disruptive phenomenon impacting corporates, and in a multitude of different ways. Digital transformation has been a tremendous challenge for organizations, but sustainability strategies go further by fundamentally rewriting the rules.

 In the digital age, data is the lifeblood of innovation. At Prodigii, we understand this fundamental truth. That’s why we’ve developed a cutting-edge Platform-as-a-Service (PaaS) offering, Prodigii BI™ that empowers corporations to harness their data in ways never before possible.

Automated Reporting Across Geographies

Provide a coherent way of Sustainability Compliance reporting across jurisdictions and geographies, get ESG compliance insights, operational efficiency improvements, and track public sentiments in real time.

• Enable testing of new green technologies at speed and scale.
• Model reductions in materials used in product design to reduce environmental waste.
• Efficiently enable trade-off analyses and experiments to mitigate risks and to model scenarios with great precision.
• Model multi-stakeholder sustainable development partnerships regardless of geographical distances.

Rapidly Analyze Enormous Volumes of Data to Create Real Sustainable Strategies Built for Action

Identify the Quick Wins to Boost Your Sustainable ROI

Manage Your Sustainable Credit Risk Profile in Real Time

Eliminate The Business Killing Effects of Data Silos

Data silos are a hidden plague in most organizations, and Prodigii BI™ is the fast and effective tool to eliminate silos and bring disparate datasets together.

Make Strategic Data-Driven Decisions that Optimize Workforce Leadership, Effectiveness, and Sustainability

Prodigii unlocks the potential of your data by turning raw records into highly attractive, visual and interactive graphics and information in a way that makes it cost effective to integrate sustainability into your day-to-day decision making.

The only database whose form aligns with the function of providing answers to relationship-based questions is the graph database.

Graph databases are flexible and agile whereas other databases are structured but rigid. The easiest way to think of a graph database is to think of it as a database of connections.

Data virtualization is a key component of a data fabric. It allows business technologists to access and work with data from various sources without physically moving or duplicating the data. Graph databases are, by definition, a way to connect disparate datasets which are prevalent in every company, and then to efficiently facilitate connecting proprietary data with public domain and third-party datasets

ESG issues plainly cover a wide variety of topics, making it challenging for companies to understand and prioritize key issues. Some companies are not able to take decisive action and may try to address ESG issues through incremental steps, which leaves them lagging their peers. Other companies may fail to receive stakeholder recognition despite significant efforts.

This means that ESG needs to be managed,  with the same global perspective and with the same level of care that you now apply to the applications of FASB and / or IASB standards. 

Transforming Data into Decisions

At Prodigii, we understand that ESG standards provide the frameworks is needed to transform data into decisions. Connected information is certain to generate better insight and intelligence, faster. This is even more true if decisions are made using data that already meets with the latest in global standards.

Our Frameworks

• International Financial Reporting Standards (IFRS)
  • S1: General Disclosure
  • Sustainability Accounting Standards Board (the SASB)
  • S2: Climate
  • Task Force on Climate Related Financial Disclosures (TCFD)
  • Value Reporting Foundation on Integrated Thinking
• Sustainable Development Goals (UNSDG) - universal call to action to end poverty, protect the planet and improve the lives and prospects of everyone, everywhere.
• World Economic Forum Stakeholder Reporting Framework – aligns IFRS Sustainability standards with the SDGs.
• The Committee of Sponsoring Organizations of the Treadway Commission (COSO)
  • Internal Control Over Sustainability Reporting
• AICPA SOC 2, Level 2 framework

Each of these frameworks is embedded into the Prodigii BI™ platform. Automating the production of ESG metrics and information is a central component of Prodigii’s strategy to quadruple efficiency in data utilization, while at the same time cutting human-driven data management tasks in half. Collectively, these standards also provide reasonable assurances to stakeholders and regulatory authorities that your organization is operating ethically, transparently and in accordance with established industry standards and best practices.

Embedding these standards into Prodigii BI is just one more way we help you to make dollars and sense of sustainability.

Companies can no longer avoid reporting on their ESG performance. The expense of compliance is already large and is growing every day. A typical company may need to link thousands or even millions of related internal data points from across the enterprise just to meet these requirements 

For example, our analysis indicates the typical cost of complying with the SEC’s new GHG disclosure requirements can range from approximately $600 thousand (SEC estimates) to a high of as much as $2.3 million for companies having heavy Greenhouse Gas Emission (GHG) (Prodigii Analysis) risk exposure, such as chemicals, energy, transport, construction, agriculture and land use.

And, as shown in the accompanying summary illustration, companies operating internationally face even higher data and analysis costs and complexities in meeting ESG related compliance requirements.

Prodigii uses data to take you beyond compliance reporting by searching for meaning from compliance data in several ways.

In the digital age, data is the new gold. But raw data, in its unprocessed form, can be overwhelming, chaotic and difficult to understand. That's where advanced data visualization and data storytelling come into play.

Prodigii BI™ also enables you to communicate data insights effectively through a narrative. It's not just about presenting data, but about telling a story with it. By combining data, visuals, and narrative, data storytelling can influence decision-making and drive strategic actions.

The recent breakthroughs in Generative A.I. have ignited a Cambrian-like explosion of innovative solutions. These solutions have tremendous potential to materialize previously unattainable capabilities as well as accelerate efficiency gains in sustainable business operations.

We believe Generative A.I. will fundamentally transform how data driven organizations will operate and become a key differentiator in competitiveness.

Create simulations based on models developed using graph data science to help predict the outcomes of various sustainability initiatives.

Enhance relational data to create more accurate and effective sustainable decision-models.

Develop new climate solutions, land management practices, water security measures, and environmental initiatives.

Establish routines to organically monitoring progress of DEI initiatives over time, holding people accountable for desired outcomes, and scaling and sustaining momentum on initiatives that produce the best results.  

Prodigii guides forward-thinking companies navigate the complex landscape of Generative A.I. to harness its full potential in a responsible and secure fashion. This involves demystifying Generative A.I. for business, discovering sustainable use cases with the most potential and develop and deploy Gen A.I. solutions that deliver new value in sustainability at scale.

When Connected Data Matters Most

Prodigii’s next generation of graph thinkers are engineering the future of artificial intelligence and machine learning to enable Sustainability.

The 7 Pillars

1. Accuracy & Reliability
2. Transparency & Accountability
3. Safety & Resiliency
4. Explainability, Usefulness and Context
5. Bias & Fairness
6. Privacy
7. Safety

Business leaders need to better anticipate the developing trends and uncertainties in social, environmental, and business dimensions. The future must be understood as being essentially driven by sustainability. Organizations need new tools that enable formulation of a holistic, systematic perspective on business sustainability. This perspective must reflect all critical challenges ranging from the environmental, social (for example, in terms of quality of life, equality, diversity, social cohesion, democracy, and governance), and even economic (in the context of industry, innovation and infrastructure, responsible production and consumption, clean energy, or paths of economic development). It must also link them together in a set of interdependent elements that impact upon one another. Issues in Sustainability are interconnected and cannot be effectively addressed in isolation.

Prodigii grounds Large Language Model (LLM) (Generative A.I.) responses in validated facts using retrieval augmented generation (RAG). Easily add and update data, indexes, and RAG sources with our solution schema that never requires redesign. Prodigii’s graph structure makes finding factual answers to multi-hop questions possible through traversals that follow a breadcrumb trail of connections.

Prodigii provides explicit accuracy from your data, while vector search offers implicit responses using semantic meaning. Our solution offers explicit and implicit responses from one database to deliver the best possible answers to the user. Storing embeddings as node properties gives users full context in addition to explicit responses native to knowledge graphs

Prodigii enables you to ground your Large Language Model (LLM) (Generative A.I.) in a knowledge graph that represents your company-specific data so responses match your business. Apply data governance policies to control information flow and integrate with your identity and access management provider for continuous governance. Define access policies by role or user and add constraints on nodes, labels, relationships, or properties – you can even wall off specific parts of the graph or limit traversal depth

Verify enriched Large Language Model (LLM) responses using linked data sources and origins. Prodigii’s knowledge graphs can capture metadata like sources and organizing principles, simplifying source identification. Your users can then view and interact with data sources through graph visualizations to better understand how data is connected.

Having a stakeholder data model that directly matches your domain model helps you better understand your data, communicate more effectively and avoid needless work. Using Prodigii improves the quality and speed of development for your Stakeholder network application by reducing the time you spend data modeling.