Generating and executing automatic suggestions to modify data of ingested data collections without additional data ingestion

A non-transitory computer-readable storage medium comprising instructions that, when executed by at least one processor, cause a computing device to:

• access, by a digital data analytics management system, an ingested data collection categorized into a plurality of dimensions, wherein the ingested data collection includes raw analytics data associated with touchpoints of a plurality of client devices with a third-party computing system ingested into a schema and each of the plurality of dimensions comprises dimension items that indicate pre-defined inputs for interactions between the plurality of client devices and the third-party computing system;
• generate a dimension report for the plurality of dimensions comprising the dimension items based on the ingested data collection to display to a client device of the digital data analytics management system, the dimension report showing the raw analytics data organized according to the pre-defined inputs for interactions between the plurality of client devices and the third-party computing system;
• in response to a query comprising a detected selection in connection with a dimension from the plurality of dimensions:
• utilize the dimension from the plurality of dimensions to select one or more machine learning models from a plurality of machine learning models;
• generate one or more automatic suggestions to modify one or more dimension items of the dimension utilizing the selected one or more machine learning models;
• generate a display of the one or more automatic suggestions for the client device of the digital data analytics management system;
• and
• in response to a detected selection of an automatic suggestion from the display of the client device of the digital data analytics management system:
• determine one or more dimension items of the dimension that correspond to the automatic suggestion,
• generate a fallback regular expression incorporating the automatic suggestion,
• identify a dimension item of the one or more dimension items referred to by the fallback regular expression,
• generate a meta-field according to the fallback regular expression for the dimension item of the one or more dimension items, and
• read data from the identified dimension item of the one or more dimension items into the meta-field according to instructions within the fallback regular expression without destroying the data ingested into the schema;
• and
• generate an updated dimension report for the identified dimension item or dimension of the one or more dimensions or dimension items by reading data out of the meta-field, the meta-field indicating at least one of an indication to disregard, an indication to merge, or an indication to rename as referred to by the fallback regular expression.

A system comprising:

• at least one computer memory device comprising:
• a digital data analytics management system;
• at least one ingested data collection organized into a plurality of dimensions and corresponding dimension items, wherein the at least one ingested data collection includes raw analytics data associated with touchpoints of a plurality of client devices with a third-party computing system ingested into a schema and each of the plurality of dimensions comprises dimension items that indicate pre-defined inputs for interactions between the plurality of client devices and the third-party computing system, and
• one or more machine learning models for generating automatic modification suggestions;
• and
• one or more servers configured to cause the system to:
• sequentially utilize a plurality of machine learning models to generate one or more automatic suggestions to modify one or more dimension items;
• generate a dimension report for the plurality of dimensions comprising the dimension items based on the ingested data collection to display to a client device of the digital data analytics management system, the dimension report showing the raw analytics data organized according to the pre-defined inputs for interactions between the plurality of client devices and the third-party computing system;
• in response to a query to modify an organization of the at least one ingested data collection, generate a display of the one or more automatic suggestions in connection with the dimension report of the one or more dimension items of the plurality of dimensions based on the ingested data collection to provide for display to the client device of the digital data analytics management system;
• and
• in response to a detected selection of an automatic suggestion from the display of the client device of the digital data analytics management system:
• generate a fallback regular expression incorporating the automatic suggestion;
• identify a dimension item of the one or more or dimension items referred to by the fallback regular expression;
• generate a meta-field according to the fallback regular expression for the dimension item of the one or more dimension items;
• and
• read data from the identified dimension item or dimension of the one or more dimensions or dimension items into the meta-field according to instructions within the fallback regular expression without destroying the data ingested into the schema;
• and
• update the dimension report of the one or more dimension items by reading data out of the meta-field, the meta-field indicating at least one of an indication to disregard, an indication to merge, or an indication to rename as referred to by the fallback regular expression to reflect modifications from reading data out of the one or more dimension items into the meta-field according to the fallback regular expression.