Shepherds Bush, United Kingdom

Grant Miller


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Grant Miller - Innovator in Business Intelligence

Introduction

Grant Miller is an accomplished inventor based in Shepherds Bush, GB. He has made significant contributions to the field of business intelligence through his innovative methods and systems. His work focuses on enhancing the monitoring and reporting of business intelligence indicators.

Latest Patents

Grant Miller holds a patent for a "Business Intelligence Monitor Method and System." This invention is designed to monitor business intelligence indicators by generating a monitoring repository. The process involves selecting functions from a collection of functions to receive business intelligence indicators as inputs. Thresholds for these indicators are established to define their states, with each state assigned an associated priority. The monitoring repository is updated by retrieving current values for each indicator from a data source, allowing for accurate reporting based on the updated information.

Career Highlights

Grant Miller is currently employed at Cognos, Inc., where he applies his expertise in business intelligence. His innovative approach has positioned him as a key player in the development of advanced monitoring systems. With a focus on practical applications, he continues to drive improvements in business intelligence methodologies.

Collaborations

Some of Grant's notable coworkers include Simon James Palmer and Michael John Craig. Their collaborative efforts contribute to the advancement of business intelligence solutions within their organization.

Conclusion

Grant Miller's contributions to the field of business intelligence through his patented methods demonstrate his commitment to innovation. His work continues to influence the way businesses monitor and report on critical indicators, showcasing the importance of effective data management.

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