The data extracted by Truvalue Labs comes from a wide variety of sources and can differ widely by type. Unstructured data (unordered/semantic content) are normalized within the established sustainability categories according to timeliness, frequency, and intensity through a running sum-based average.
Truvalue Labs provides three different scores:
- Adjusted Insight or Insight Score: Captures a company's long-term performance on ESG issues
- Momentum Score: Measures a company's trajectory (increase or decrease in Insight Score) over a trailing twelve-month (TTM) period)
- Pulse Score: Charts and tracks a company's moving score series to help measure short term ESG behavior
When the SASB Materiality filter is turned on all scores will be filtered to include the categories that SASB determines are material.
Custom materiality lenses can also be developed to weight data points to varying degrees according to sustainability topic, sector, and data source.
Truvalue natural language processing to interpret semantic content and generate analytics in a process that remains consistent with established frameworks, scoring data points on performance using a 0 to 100 scale where 50 represents a neutral impact.