System And Method For Detecting Anomalies In Market Data
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.
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.