Automated data enrichment and signal detection for exploring dataset values

A system for exploring value of one or more datasets, the system comprising:

• an input interface connected with one or more data sources, each of the one or more data sources providing at least one of transaction data, network data, and/or unstructured data;
• a data wrangling module connected with the input interface and configured to receive the one or more datasets, the data wrangling module being configured to wrangle the one or more datasets into a form that is computationally actionable by a user;
• one or more data enrichment modules connected with the data wrangling module and/or at least one of the one or more data sources, the one or more data enrichment modules being configured to enrich at least some data from the one or more datasets to generate an enriched form of at least some data corresponding to the one or more datasets that is computationally actionable by the user, the one or more data enrichment modules including:
• a transaction data enrichment module configured to enable creation of characteristics through pre-defined templates,
• a network data enrichment module configured to detect a network across the one or more datasets, and
• an unstructured data enrichment module configured to handle different types of unstructured data;
• and
• a signal detection module connected with the data wrangling module, the data enrichment module, and/or the one or more data sources, the signal detection module being configured to process the one or more datasets and the enriched form of at least some data, to identify relationships, anomalies, and/or patterns within the one or more datasets.

A method of exploring value of one or more datasets from one or more data sources, the method comprising:

• receiving, by a data wrangling module connected with the one or more data sources, the one or more datasets, the data wrangling module being configured to wrangle the one or more datasets into a form that is computationally actionable by a user;
• enriching, by one or more data enrichment modules connected with the data wrangling module and/or at least one of the one or more data sources, at least some data from the one or more datasets to generate an enriched form of at least some data corresponding to the one or more datasets that is computationally actionable by the user, the enriching comprising:
• creating, by a transaction data enrichment module, characteristics of one or more transactions through pre-defined templates,
• detecting, by a network data enrichment module, a network across the one or more datasets, and
• handling, by an unstructured data enrichment module, different types of unstructured data;
• and
• processing, by a signal detection module connected with the data wrangling module, the data enrichment module, and/or the one or more data sources, the one or more datasets and the enriched form of at least some data, to identify relationships, anomalies, and/or patterns within the one or more datasets.