Patents by Inventor Kathleen WACHHOLZ

Kathleen WACHHOLZ has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10699335
    Abstract: A Total Loss Predictor Score assesses the risk of Total Loss of new credit applications by leveraging the most powerful insights from business databases. The Total Loss Predictor Score built on segmentation and algorithms that use the commercial information from business databases, powered by analytics, delivers a unique solution for credit risk management to help business creditors with origination decisions.
    Type: Grant
    Filed: April 18, 2014
    Date of Patent: June 30, 2020
    Assignee: THE DUN & BRADSTREET CORPORATION
    Inventors: Xin Yuan, Paul Douglas Ballew, Nipa Basu, Jianjing Ling, Kathleen Wachholz, Alla Kramskaia, Brian Scott Crigler
  • Publication number: 20150149247
    Abstract: A method and system for determining an entity's future commercial viability which comprises: (a) using a first predictive modeling, determining a future commercial viability of the entity, the first predictive modeling is derived by identifying patterns in data and relating to predictive attributes, thereby generating a viability score; (b) using predictive modeling to generate a relative ranking of the entity against its peer group, thereby generating a comparative viability score (i.e.
    Type: Application
    Filed: May 1, 2014
    Publication date: May 28, 2015
    Applicant: THE DUN & BRADSTREET CORPORATION
    Inventors: Alla KRAMSKAIA, Paul Douglas BALLEW, Nipa BASU, Michael Eric DANITZ, Jayesh SRIVASTAVA, Karolina Anna KIERZKOWSKI, Anthony James SCRIFFIGNANO, John Mark NICODEMO, Kathleen WACHHOLZ, Robin Fry DAVIES, Xin YUAN
  • Publication number: 20150032513
    Abstract: A system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.
    Type: Application
    Filed: June 10, 2014
    Publication date: January 29, 2015
    Inventors: Paul D. BALLEW, Nipa BASU, Anthony J. SCRIFFIGNANO, Warwick R. MATTHEWS, Yiem SUNBHANICH, Karolina A. KIERZOWSKI, John M. NICODEMO, Bradley WHITE, Alla KRAMSKAIA, Brian S. CRIGLER, Xin YUAN, Robin DAVIES, Kathleen WACHHOLZ, Sumanta MUKHERJEE, Yan LIN, Paul CHIN, Don FOLK
  • Publication number: 20140330706
    Abstract: A Total Loss Predictor Score assesses the risk of Total Loss of new credit applications by leveraging the most powerful insights from business databases. The Total Loss Predictor Score built on segmentation and algorithms that use the commercial information from business databases, powered by analytics, delivers a unique solution for credit risk management to help business creditors with origination decisions.
    Type: Application
    Filed: April 18, 2014
    Publication date: November 6, 2014
    Applicant: THE DUN & BRADSTREET CORPORATION
    Inventors: Xin YUAN, Paul Douglas BALLEW, Nipa BASU, Jianjing LING, Kathleen WACHHOLZ, ALLA KRAMSKAIA, Brian Scott CRIGLER