Curtis Richard Hale

Title: **Curtis Richard Hale: Innovator in Data Mining Techniques**

Introduction

Curtis Richard Hale is a notable inventor based in Dunwoody, GA, with a keen focus on data mining methodologies. With a total of two patents to his name, Hale has significantly contributed to the field of prospect selection, aiding businesses in refining their promotional efforts through innovative statistical techniques.

Latest Patents

Hale's most recent patents include two groundbreaking methods for prospect selection through data mining. The first patent encompasses a process and heuristic statistic designed for prospect selection, where an initial set of prospects is identified based on predetermined criteria. This selection process compares the number of identified prospects to a target number. If the figures match, these prospects are chosen for final selection; if they do not, a culling or augmenting process is employed to adjust the prospects until the numbers align.

Similarly, the second patent outlines a method and system for selecting prospects for product promotion utilizing data mining. It follows a very similar structure as the first patent, further refining the procedure for identifying prospects based on specific criteria and adjusting the selection until the desired number of prospects is achieved.

Career Highlights

Hale is currently associated with the International Business Machines Corporation (IBM), where he applies his expertise in data mining and analytics to support various business strategies. His innovative approaches in prospect selection exemplify his commitment to enhancing efficiency and effectiveness in marketing and promotional efforts.

Collaborations

Throughout his career, Hale has worked closely with fellow innovator John Baxter Rollins. Their collaboration highlights the importance of teamwork in driving innovation and achieving advancements in technology and methodologies within their field.

Conclusion

Curtis Richard Hale stands out as a dedicated inventor in the realm of data mining and prospect selection. His contributions through innovative patents have had a positive impact on business strategies within the sector. As technology continues to evolve, Hale's work remains a pertinent standard for effectiveness in data-driven decision-making processes.