18673068. MULTI-SOURCE LIQUIDITY TRACKING simplified abstract (Wells Fargo Bank, N.A.)

MULTI-SOURCE LIQUIDITY TRACKING

Organization Name

Wells Fargo Bank, N.A.

Inventor(s)

Alan W. Hecht of Chanhassen MN (US)

Jeffrey A. Harmon of New Richmond WI (US)

Jane E. Guinnane of St. Paul MN (US)

Robert E. Lugenbeal of Brush Prairie WA (US)

Margaret O'neill of Brooklyn Park MN (US)

Vicki L. Anderson of Big Lake MN (US)

Joel D. Feazell of New York NY (US)

MULTI-SOURCE LIQUIDITY TRACKING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18673068 titled 'MULTI-SOURCE LIQUIDITY TRACKING

Simplified Explanation: The patent application describes a computer-implemented method that involves obtaining transactional data from multiple financial data sources, determining a net liquidity amount based on the posting time of each transaction, and outputting net liquidity data.

Key Features and Innovation:

• Obtaining transactional data from multiple financial data sources
• Determining net liquidity amount based on posting time
• Outputting net liquidity data representative of the determined amount

Potential Applications: This technology could be used in financial institutions, investment firms, and other organizations that deal with large amounts of financial data to analyze liquidity levels and make informed decisions.

Problems Solved: This technology helps in efficiently determining net liquidity amounts from various financial data sources, providing a clearer picture of an organization's financial health.

Benefits:

• Improved analysis of liquidity levels
• Informed decision-making based on accurate data
• Enhanced financial health monitoring

Commercial Applications: The technology could be utilized by banks, investment firms, and other financial institutions to streamline their liquidity analysis processes and make more informed financial decisions.

Prior Art: Readers can start searching for prior art related to this technology by looking into patents or research papers on financial data analysis and liquidity management.

Frequently Updated Research: Stay updated on the latest research in financial data analysis, liquidity management, and technology advancements in the financial sector to enhance the application of this technology.

Questions about net liquidity analysis: 1. How does this technology improve liquidity analysis in financial institutions? 2. What are the key factors considered in determining net liquidity amounts from multiple financial data sources?

Original Abstract Submitted

In an example, a computer implemented method includes obtaining respective transactional data from each financial data source of a plurality of financial data sources, where the respective transactional data is each associated with a posting time. The method also includes determining a net liquidity amount from the respective transactional data based on the posting time of each of the respective transactional data. The method also includes outputting net liquidity data that is representative of the determined net liquidity amount.