System and method for improved data consistency in data systems including dependent algorithms

A system for organizing and analyzing data from multiple data sources comprising:

• an algorithm collection including a plurality of executable algorithms for evaluating data;
• a first database including dependency data for each algorithm of the plurality of algorithms;
• and
• one or more computing devices configured to:
• receive a notification corresponding to changed data of a data source;
• execute, in response to receiving the notification, a first algorithm of the algorithm collection using an input value and a second algorithm of the algorithm collection according to an execution order derived from the dependency data, the first algorithm being dependent on the changed data and the second algorithm being dependent on a result of the first algorithm;
• update a second database to include a result of the second algorithm;
• and
• receive a feedback value corresponding to but different than the changed data,
• wherein the input value is one of an average of the changed data and the feedback value, a weighted average of the changed data and the feedback value, or a time-dependent weighted average of the changed data and the feedback value.

A system for organizing and analyzing data from multiple data sources comprising:

• an algorithm collection including a plurality of executable algorithms;
• a dependency database including dependency data for each algorithm of the algorithm collection, the dependency data indicating data relationships between algorithms of the algorithm collection;
• a current database including current values of data stored in one or more data sources and results of algorithms of the algorithm collection;
• and
• one or more computing devices communicatively coupled to the algorithm collection, the dependency database, and the current database, the one or more computing devices configured to:
• recognize a change to data of the one or more data sources;
• identify a first algorithm of the algorithm collection dependent on the changed data and a second algorithm of the algorithm dependent on the first algorithm;
• generate, based on the dependency data, an execution order for the first algorithm and the second algorithm;
• generate an algorithm result by executing the first algorithm using an input value and the second algorithm according to the execution order;
• update the database to include the algorithm result;
• and
• receive a feedback value corresponding to but different than the changed data,
• wherein the input value is one of an average of the changed data and the feedback value, a weighted average of the changed data and the feedback value, or a time-dependent weighted average of the changed data and the feedback value.