System And Method For Detecting Anomalies In Market Data

• US 20080103855A1
• Filed: 10/25/2007
• Published: 05/01/2008
• Est. Priority Date: 10/25/2006
• Status: Abandoned Application

• Current Assignee: IMS Software Services Ltd. (IQVIA Holdings, Inc.)
• Original Assignee: IMS Software Services Ltd. (IQVIA Holdings, Inc.)
• Inventors: Stipa, Cynthia, Campbell, Gene, Hernandez, Robert
• Application Number:
  US11/924,344
• Publication Number:
  US 20080103855A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

A system and method for identifying data exceptions is disclosed. In some embodiments, data is monitored over a time period, a statistic is generated relating to the data, and it is determined whether the statistic exceeds a threshold In some embodiments, monitoring comprises monitoring the cost of a product or the sales volume of a product over a time period. In some embodiments, statistics may be generating regarding an outlier in the data, a directional trend in the data, or variability of the data.

Claims

1. A method for identifying anomalies in one or more sets of market data comprising:

monitoring said one or more sets of market data over a time period;

generating one or more statistics relating to said one or more sets of market data;

determining whether the said one or more statistics exceeds one or more corresponding thresholds to create one or more statistical exceptions; and

prioritizing said one or more statistical exceptions.

2. The method according to claim 1, wherein said monitoring comprises monitoring cost of a product over said time period.

3. The method according to claim 1, wherein said monitoring comprises monitoring sales volume of a product over said time period.

4. The method according to claim 1, wherein said generating one or more statistics comprises generating one or more statistics regarding an outlier in the data.

5. The method according to claim 1, wherein said generating one or more statistic comprises generating one or more statistics regarding a directional trend in the data.

6. The method according to claim 1, wherein said generating one or more statistic comprises generating a statistic regarding variability of the data.

7. The method according to claim 1, wherein determining whether the said one or more statistics exceeds one or more corresponding thresholds comprises generating a notification.

8. A system for identifying anomalies in one or more sets of market data comprising:

a data storage unit for storing data relating to one or more sets of market data; and

a processor arranged and configured to monitor one or more sets market data over a time period, generate one or more statistics relating to said one or more sets of market data;

determine whether the said one or more statistics exceeds one or more corresponding thresholds to create one or more statistical exceptions; and

prioritizing said one or more statistical exceptions.

10. The system according to claim 9, wherein the processor is arranged and configured to monitor the cost of a product over a time period.

11. The system according to claim 9, wherein the processor is arranged and configured to monitor sales volume of a product over a time period.

12. The system according to claim 9, wherein the processor is arranged and configured to generate one or more statistics regarding an outlier in the data.

13. The system according to claim 9, wherein the processor is arranged and configured to generate one or more statistics regarding a directional trend in the data.

14. The system according to claim 9, wherein the processor is arranged and configured to generate a statistic regarding variability of the data.

15. The system according to claim 9, wherein the processor is arranged and configured to provide one or more notifications.