BUSINESS FORECASTING USING PREDICTIVE METADATA

• US 20150348066A1
• Filed: 03/05/2015
• Published: 12/03/2015
• Est. Priority Date: 05/27/2014
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Sewak, Mohit
• Application Number:
  US14/639,182
• Publication Number:
  US 20150348066A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

A business forecasting tool utilizing metadata is provided. A processor receives one or more sets of business metrics. A processor receives a first metadata descriptor for a first set of business metrics of the one or more sets of business metrics. A processor receives a second metadata descriptor for a second set of business metrics of the one or more sets of business metrics. A processor prepares the first set of business metrics for prediction of a third set of business metrics based on, at least in part, the first metadata descriptor, where the first set and third set each correspond to a different time period. A processor generates a fourth set of business metrics based on, at least in part, the second metadata descriptor, where the second set and fourth set each correspond to a different time period.

Claims

1. A method for business forecasting, comprising:

receiving, by one or more processors, one or more sets of business metrics, wherein at least one of the one or more sets of business metrics comprises a set of recorded events;

receiving, by the one or more processors, a first metadata descriptor for a first set of business metrics of the one or more sets of business metrics;

receiving, by the one or more processors, a second metadata descriptor for a second set of business metrics of the one or more sets of business metrics;

preparing, by the one or more processors, the first set of business metrics for prediction of a third set of business metrics based on, at least in part, the first metadata descriptor, wherein the first set and third set each correspond to a different time period; and

generating, by the one or more processors, a fourth set of business metrics based on, at least in part, the second metadata descriptor, wherein the second set and fourth set each correspond to a different time period.

2. The method of claim 1, wherein the first metadata descriptor indicates that the first set of business metrics has a non-predetermined trend.

3. The method of claim 1, wherein the second metadata descriptor indicates that the second set of business metrics has a predetermined trend.

4. The method of claim 2, wherein preparing the first set of business metrics for prediction includes requesting a prediction of the first set of business metrics for the time period corresponding to the third set of business metrics.

5. The method of claim 3, wherein generating the fourth set of business metrics includes determining at least one value of the fourth set of business metrics based on, at least in part, the predetermined trend.

6. The method of claim 1, further comprising:

presenting, by the one or more processors, a report including at least the first set and second set of business metrics, wherein a time period of the first set overlaps the time period of the second set.

7. The method of claim 6, wherein the report selectively includes the third set and fourth set of business metrics based on a configuration of the report.