Common Data Structure
Impact data is spread across reports, statistics, KPI sets, issue classifications, frameworks, and research.
Platform connects companies, businesses, issues, outcomes, KPIs, statistics, and sources in one common data structure.
Data as Relationships
Why Documents Alone Are Not Enough
The same issue can use different terms, classifications, periods, and units. Keyword search alone can miss related data.
When activities, outcomes, KPIs, and statistics sit in separate sources, their relationships are hard to see.
Data Connected by Platform
Platform connects the following data types.
- Companies & organizations:Companies, investors, funds, local governments, nonprofits, and others
- Businesses & initiatives:Products, services, projects, investments, policies, and other initiatives
- Social issues:Issues to address, their causes, structures, affected groups, and related data
- Activities & outputs:Activities undertaken and their direct results
- Outcomes & impact:Changes experienced by people, society, the environment, and others
- KPIs & metrics:Indicators used to track progress and change
- Statistics & evidence:Data used to understand or estimate issues and change
- Sources:Reports, web pages, statistical materials, academic papers, and more
Connect Terms & Methods
Link Different Terms
Platform links related data even when names or classifications differ.
Explore related data across years and documents without exact keyword matches.
Connect Methodologies
Impact management uses multiple frameworks, categories, and indicator systems.
Platform connects different approaches without forcing one standard.
- SDGs and related targets
- Impact categories and metrics such as IRIS+
- Indicator systems across social and environmental domains
- Classifications used by companies, investors, financial institutions, and others
- Issue maps, logic models, and theories of change
Users can choose methods by purpose while referencing related approaches and public data.
Choose by Purpose
Methods and indicators can be cross-referenced by purpose.
Choose methods based on geography, population, business, investment policy, and stakeholder needs.
Use Connected Data
What Connected Data Enables
- Find related companies and businesses from a social issue
- Review related outcomes and KPIs from a company
- Reference logic models and indicators from similar businesses
- Find companies and funds using the same KPI
- Review statistics and evidence that can support a KPI
- Compare data across companies, funds & geographies
- Use AI to analyze data relationships
- Use structured data from external AI or analytics tools as access expands
Use Connected Data to Create
Use issues, outcomes, KPIs, statistics, and existing models to create maps, models, and assessments.
One data structure connects research, impact design, KPI selection, and disclosure.