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    • 63. 发明申请
    • Systems and Methods for a Causality Analyzer
    • 因果分析系统和方法
    • US20110251932A1
    • 2011-10-13
    • US13024875
    • 2011-02-10
    • John EarlyDanny Cho-Liang LaiJeffrey D. Johnson
    • John EarlyDanny Cho-Liang LaiJeffrey D. Johnson
    • G06Q10/00
    • G06Q30/02G06Q10/06G06Q40/12
    • A causality analyzer that provides attribution of causality effects for changes in revenue, margin and margin percentage is provided. The causality analyzer selects a reference time period and a comparison time period, and receives transaction data. Data cleansing and correction may be performed on the transaction data. The analyzer may then calculate change in total margin, percent margin and total revenue between the reference time period and the comparison time period using the transaction data. Each of the total margin, the percent margin and the total revenue may be disaggregated into one or more of a price effect, cost effect, quantity effect, product mix effect, customer mix effect, exchange rate effect, new and lost business, and an adjustment change. In this way the total margin, the percent margin and the total revenue are each defined as a summation of the individual causality effects. Causality effects may be disaggregated in such a way that the shared effects are allocated according to the proportion of percent change for each element, thereby unbiasing the effects to more accurately reflect actual causality.
    • 提供了一种因果关系分析器,用于提供收入,保证金和保证金百分比变化对因果关系的归因。 因果分析器选择参考时间段和比较时间段,并接收交易数据。 可以对交易数据执行数据清理和校正。 然后,分析器可以使用交易数据计算参考时间段和比较时间段之间的总利润率,百分比边际和总收入的变化。 总利润率,百分比率和总收入中的每一种可以分为价格效应,成本效应,数量效应,产品结构效应,客户组合效应,汇率效应,新业务和业务损失中的一个或多个 调整变化。 这样,总利润率,百分比率和总收入都被定义为个人因果关系的总和。 因果关系效应可以按照每个元素的百分比变化比例分配共享效果的方式进行分解,从而使效果更为准确地反映实际的因果关系。
    • 64. 发明授权
    • Systems and methods for a revenue causality analyzer
    • 收入因果分析器的系统和方法
    • US07904355B1
    • 2011-03-08
    • US12027193
    • 2008-02-06
    • Jeffrey D. Johnson
    • Jeffrey D. Johnson
    • G07B17/00
    • G06Q40/02G06Q40/12
    • A revenue causality analyzer that provides attribution of causality effects for changes in revenue. The analyzer includes a selector for selecting a reference time period and a comparison time period, a receiver configured to receive transaction data including pricing data and volume data about the products at reference and comparison times, a preparer that includes a missing data exchanger and data error corrector, an attributor for attributing causality effects including a price effect, a volume effect, a mix effect an exchange effect, a cost effect, a dividend effect, a loss effect, and an inventory appreciation effect, by analyzing transaction data through a causality equation; and an output. Price effect sums the product of change in price and volume of the products across the products and currencies. Volume effect multiplies change in volume by the revenue per product sold. Mix effect multiplies percent revenue change by the volume of products sold.
    • 一种收入因果分析器,为收入变化提供因果关系的归因。 分析器包括:选择器,用于选择参考时间段和比较时间段;接收器,被配置为在参考和比较时间接收包括定价数据和关于产品的体积数据的交易数据,包括丢失数据交换器和数据错误的准备工作 校正者,通过因果关系方程分析交易数据,归因于因果关系影响,包括价格效应,体积效应,混合效应交换效应,成本效应,股利效应,损失效应和库存升值效应 ; 和输出。 价格效应将产品的价格和数量变化的产物与产品和货币相加。 体积效应将销量变化乘以销售产品的收入。 混合效应将收入变化百分比乘以销售的产品数量。