Efficient determination of quantitative supply chain information

One or more instances of computer-readable media not constituting a signal per se, the one or more instance of computer-readable media collectively storing a data structure, the data structure comprising:

• an extract-transform-load (“ETL”) pipeline configured to act on dynamic supply chain data for a subject organization, the ETL pipeline comprising:
• a plurality of ETL transform nodes;
• an insight ontology object that references a corresponding table configured to be populated by a distinguished ETL transform node and contains a natural language text description of a table configured to be populated by the distinguished ETL transform node describing its contents and significance, the natural language text description being distinct from the properties of the table;
• and
• a multiplicity of tables, each of a plurality of first tables among the multiplicity of tables configured to be populated by an ETL transform node of the plurality of ETL transform nodes based upon content of one or more feeder tables of the ETL transform node, an insight ETL transform node of the plurality of ETL transform nodes specifying an insight mechanism to be invoked by the distinguished ETL transform node with contents of the distinguished ETL transform node's one or more feeder tables to populate a corresponding table with a derived insight result,
• such that, when the distinguished ETL transform node operates within the ETL pipeline, the specified insight mechanism can be invoked to populate the corresponding table configured to be populated by the distinguished ETL transform node, and
• such that, a language model is configured to access data stored in a table populated by an ETL transform node based on the natural language text description contained by the insight ontology object.

One or more instances of computer-readable media not constituting a signal per se, the one or more instance of computer-readable media collectively having contents configured to cause a computing system to perform a method, the method comprising:

• processing an extract-transform-load (“ETL”) pipeline configured to act on dynamic supply chain data for a subject organization available from one or more data sources, the ETL pipeline comprising a plurality of tables and one or more ETL transform nodes, one or more first tables each being populated from the one or more data sources, one or more second tables each being populated by an ETL transform node of the one or more ETL transform nodes based on content of one or more feeder tables of the ETL transform node;
• as part of processing the ETL pipeline, triggering operation of an insight ETL transform node among the one or more ETL transform nodes, the insight ETL transform node identifying one or more of the plurality of tables as insight feeder tables, the insight ETL transform node specifying an insight mechanism;
• and
• in response to triggering operation of the insight ETL transform node, invoking the specified insight mechanism passing contents of the insight feeder tables to populate an insight results table among the plurality of tables,
• such that a language model is able to access the insight results table based on a natural language text description of an insight ontology object that references the insight results table and that is distinct from the properties of the insight results table.