Ahmad Tariq Sharif

Title: Ahmad Tariq Sharif: Innovator in Data Integration

Introduction

Ahmad Tariq Sharif is a notable inventor based in New Hope, PA (US). He has made significant contributions to the field of data integration, holding 2 patents that enhance the quality and accuracy of business data processing. His work is instrumental in enabling organizations to make informed business decisions through reliable data.

Latest Patents

Sharif's latest patents include a "Data integration method and system" and a "System and method for providing enhanced information." The first patent describes a computer-implemented method for ensuring the quality of processed corporate entity data. This method involves sequentially processing corporate entity data through a series of connected drivers, which include a data collection driver, an entity matching driver, an identification number driver, a corporate linkage driver, and a predictive indicator driver. Quality assurance is conducted at each stage to ensure high-quality data. The second patent outlines a unique method of collecting and processing raw business data to produce highly useful and accurate information. This process includes steps such as collecting global data, entity matching, and applying an identification number, all while ensuring quality assurance at each step.

Career Highlights

Ahmad Tariq Sharif is currently employed at The Dun & Bradstreet Corporation, where he applies his expertise in data integration. His innovative approaches have contributed to the company's mission of providing high-quality business information.

Collaborations

Sharif collaborates with talented professionals such as Sandra Stoker and Michael E Prevoznak, enhancing the collective efforts in data integration and quality assurance.

Conclusion

Ahmad Tariq Sharif's contributions to data integration through his patents and work at The Dun & Bradstreet Corporation highlight his role as an influential inventor in the field. His innovative methods ensure that businesses can rely on high-quality data for their decision-making processes.