18158789. SYSTEMS AND METHODS FOR NORMALIZING DATA HAVING DISPARATE FORMATS simplified abstract (JPMorgan Chase Bank, N.A.)
Contents
SYSTEMS AND METHODS FOR NORMALIZING DATA HAVING DISPARATE FORMATS
Organization Name
Inventor(s)
Sitaram Yarlagadda of Plano TX (US)
Ananth Hegde of Frisco TX (US)
Kevin Hathaway of Glasgow (GB)
Steven Lau of New York NY (US)
SYSTEMS AND METHODS FOR NORMALIZING DATA HAVING DISPARATE FORMATS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18158789 titled 'SYSTEMS AND METHODS FOR NORMALIZING DATA HAVING DISPARATE FORMATS
The method described in the abstract involves executing queries against a data store at predefined intervals to retrieve insight records related to an entity identifier, storing the results, executing retrieval logic for each record to obtain new insight values, persisting these values, and sending them to a recipient.
- Executing queries at predefined intervals against a data store
- Storing and retrieving insight records related to an entity identifier
- Executing retrieval logic to obtain new insight values
- Persisting new insight values in the data store
- Sending the new insight records to a recipient
Potential Applications: - Data analysis and insight generation in various industries - Monitoring and tracking changes in data over time - Automating the process of retrieving and storing insights
Problems Solved: - Streamlining the process of insight retrieval and storage - Ensuring timely delivery of new insights to recipients - Improving efficiency in data analysis tasks
Benefits: - Increased productivity through automation of insight retrieval - Enhanced decision-making based on up-to-date insights - Improved data management and organization
Commercial Applications: Title: Automated Insight Retrieval System for Data Analysis This technology can be used in industries such as finance, marketing, and healthcare for real-time data analysis, trend monitoring, and performance tracking. It can also be integrated into business intelligence systems for enhanced reporting and decision-making processes.
Questions about Automated Insight Retrieval System for Data Analysis: 1. How does this technology improve the efficiency of data analysis tasks? - This technology automates the process of retrieving insights at predefined intervals, ensuring that new information is constantly updated and available for analysis. 2. What industries can benefit the most from this automated insight retrieval system? - Industries such as finance, marketing, and healthcare can benefit from this technology by gaining real-time insights for decision-making and trend monitoring.
Original Abstract Submitted
In some aspects, the techniques described herein relate to a method including: executing a first query, at a predefined time interval, against a target datastore for insight records related to an entity identifier; storing results of the first query as a record set, wherein the record set includes one or more existing insight records, and wherein each existing insight record includes connection information for connecting to a corresponding insight datastore; executing insight retrieval logic for each insight record in the record set, wherein the insight retrieval logic executes a second query against the corresponding insight datastore and retrieves a new insight value from the corresponding insight datastore; persisting the new insight value in a new insight record in the target datastore; and sending the new insight record as a communication to a recipient.
