The scientific mechanisms for objectivity

INNORBIS applies metrological technics in its integrated assessment model, providing quality-assured metrics capable of supporting certified financial markets.

  • Objectivity - based in results repeatedly reproducible within limits of precision

     

  • Measurability - consistent measurement, qualitative & quantitative data sources

     

  • Completeness - including all relevant factors for decision making

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Conformity Assessment provides a language, evidence, and legal proof for:

 

  • explicit confidence - requirements for products and services are met

     

  • public interest and public comparability

  • protection of environment and consumer

Automation

INNORBIS automates the process of collecting data from an enormous amount of sources and formats. These input data are then evaluated, aggregated and processed into one powerful data set that we bind to one identity (company or country) for advanced forward looking analysis and comparison.

Higher quality results that deliver objective sustainability performance measures that are informative and useful no matter the size of business. The result is that we can can provide a superior business analysis as a service.

A fair amount of company data and sustainability information is available. These are difficult data sources to combine, clean and transform via automated processing. Ahead of the market, we are on seeking long-term solutions derived from training a neural network to parse and convert such statements into well-defined rating categories that can be used downstream. Past that, we are also involved in advanced theory-based methods that do not need data-based training, but can accurately evaluate the meaning of written text based on the complexity of the concepts.

 

This work is in close cooperation with experts in machine learning and model-based reasoning, unlocking sustainable and impact insights with the transparency of the patterns analysed, at the same time as drilling down to the specific reasons for better decisions. No need for professionals to collect the data and spend time on "copy paste" analysis. The patterns revealed, the magic at your finger tip.

Technology

”We are what we measure. It is time we measure what we want to be”

 

- William Fisher

© 2018 Innorbis by ALDC PARTNERSHIP