Systems and method for searching and analyzing big data

A system for searching and analyzing data, comprising:

• a memory storing instructions therein;
• and
• a processor configured to receive a search engine query input by a user to a search engine, the search engine query including a query term, and the processor being configured to execute the instructions and thereby:
• after the receipt of the search engine query, retrieve findings from a plurality of different data sources each storing a plurality of records each including a text field, the findings being based on a match of the received query term with the text field, and
• after retrieving the findings, calculate a statistical test result of the findings, each test result including a p-value and a strength of effect,
• calculate a weighted test result using the strength of effect,
• rank the weighted test results from largest to smallest,
• calculate a relevance score for each weighted test result based on the ranking,
• normalize the relevance scores, and
• rank query results to be provided to the user in response to the search engine query by ranking the normalized relevance scores from largest to smallest.

A method for searching and analyzing data, comprising:

• receiving at a processor a search engine query input by a user to a search engine, the search engine query including a query term;
• after the receipt of the search engine query, the processor retrieving findings from a plurality of different data sources each storing a plurality of records each including a text field, the findings being based on a match of the received query term with the text field;
• and
• after the retrieval of the findings, the processor calculating a statistical test result of the findings, each test result including a p value and a strength of effect;
• the processor calculating a weighted test result using the strength of effect;
• the processor ranking the weighted test results from largest to smallest;
• the processor calculating a relevance score for each of the weighted test results based on the ranking;
• the processor normalizing the relevance scores;
• and
• the processor ranking query results to be provided to the user in response to the search engine query by ranking the normalized relevance scores from largest to smallest.