Process and system for pricing and processing weighted data in a federated or subscription based data source

• US 20120173381A1
• Filed: 03/07/2011
• Published: 07/05/2012
• Est. Priority Date: 01/03/2011
• Status: Abandoned Application

• Current Assignee: Stanley Benjamin Smith
• Original Assignee: Stanley Benjamin Smith
• Inventors: Smith, Stanley Benjamin
• Application Number:
  US12/932,798
• Publication Number:
  US 20120173381A1
• Time in Patent Office: Days
• US Class Current: 705/26.5
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 30/0621 Item configuration or customization
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

A system and method for collecting handling processing and calculating values weights and prices for observations entered by one or a plurality of sources about one or a plurality of targets related to a researchable model or a theory or practice.

Claims

1. An information handling process to implement pricing and weighting and other calculations within a federated data source or a data supply chain to shape and propagate research designs composed of hubs, relationships between hubs, booklets that include lists of booklets items that are linked to researchable elements and root elements, and a calculation algorithm, said research design being configurable to suit any research or business process or plurality of research and business processes through an application cluster or a plurality of application clusters.

2. The research designs of claim 1, wherein said information handling process enables continuous, discontinuous or sporadic accumulation of observations from data sources by a user of the process, each of which observation includes an atom or a plurality of atoms, about one or a plurality of booklet items from one or a plurality of input sources, said atom or plurality of atoms being correlated insofar as the booklet items refer to identical elements or root elements, enabling research to be performed across one or a plurality of application clusters and across industries, business processes, and research protocols.

3. The information handling process of claim 1, wherein each application cluster or plurality of application clusters provides specifications for the behavior of the information handling system when operating on information related to that application cluster or a plurality of application clusters, and to each booklet or plurality of booklets used within an applicable application cluster.

4. The information handling process of claim 1 and the research design of claim 2, wherein atoms related to booklet items within one application cluster may be used by another application cluster if the application clusters each use booklet items related to identical elements or root elements.

12. The research design according to claim 2, related to an application cluster, comprising:

a) providing at least one booklet in the application cluster;

b) providing booklet items related to said booklets, each of said booklets items at a defined position and level in a booklet;

c) providing a hub that may serve as a source or target of observations within said application cluster;

d) attaching said booklets to said hub; and

e) determining ranges, coefficients, prices, weights, default values, and other calculation specifications (higher level input value), and input specifications to be assigned to the booklet items;

f) obtaining atoms of information from observations related to said application cluster, each of said atoms having a specified input value;

g) relating each of the atoms to a particular booklet item;

h) utilizing the relationship between the atoms, booklet items and booklets, the input values of the atoms, and the ranges, coefficients and prices and weights and default values assigned to the booklet items to determine scaled averages and scaled coefficients and prices at the lowest defined booklet item level;

i) utilizing the scaled averages and the scaled coefficients of the lowest defined booklet item level, rolling up to the next lowest booklet item level, if any, to yield scaled averages and scaled coefficients and prices at the next to lowest booklet item level, or if there is no remaining next lowest booklet item level, rolling up to the booklet; and

j) repeating steps h) and i) until the highest booklet item level is reached.

13. A research design according to claim 2, for handling information that comprises observations, said design comprising the following interrelated components:

a) one or more application clusters;

b) one or more booklets;

c) one or more booklet items; and

d) one or more atoms, each atom recording one or a plurality of input values, weights or prices in an observation;

wherein;

a) each application cluster comprises at least one booklet;

b) each booklet comprises at least one booklet item;

c) each atom is related to a booklet item;

wherein the relationship between each atom and its related booklet item specifies the means for the information handling system to interpret the meaning of the value in the atom, so that the information handling system can correlate all atoms related to the same booklet item and can identify the booklet item associated with each atom.

d) each booklet item is correlated with a root element.

16. The information handling system of claim 7, wherein atoms related to booklet items within one application cluster may be used for another application cluster if the application clusters each use booklet items related to identical root elements. The information handling system of claim 13, wherein booklet items within a particular booklet are related to each other and to the particular booklet in a hierarchical structure, wherein information in the booklet items in the hierarchical structure can be rolled up to provide data about the booklet.

5. An information handling process for use with observations, comprising:

a) defining one or more booklets in a first level, each of said booklets comprising one or more booklet items in a second level and having a defined weight or price or value;

b) defining one or a plurality of input sources, each of said input sources having a defined weight or price or value;

c) providing an opportunity for one or more atoms of each observation to be collected from said input sources, and assigning the collected atoms to related booklet items;

d) analyzing the atoms for validity;

e) determining an actual value for each collected atom;

f) determining a scaled value for each atom based on a possible range of values for the atom and the actual value of the atom;

g) determining at which level default values are to be entered for missing values;

h) entering a missing replacement value at the determined level where there are no observations;

i) for booklet items containing one or more atoms, enabling an option for a user to set one or both methods of averaging the scaled values to result in a scaled average or averaging the scaled values to store the atom as a data point or price or value or weight a combination of data point price or value or weight within a data source;

j) determining a roll-up value or price or weight or a combination of a value or price or weight for the first level; and

k) utilizing the roll-up calculations for the first level to determine a price or weight or value or a combination of price or weight or value to associate with each booklet.

6. The information handling process according to claim 5, further comprising using the price or weight or value or a combination of price or weight or value to associate with each booklet and the assigned weight or price or value of the contribution of the booklet to determine a roll-up calculation or plurality of calculations of a value, weight or prices or a combination of values, prices and weights for the booklets;

and utilizing the roll-up value for the booklets to determine a summary level roll-up price or weight or value or a combination of values, prices and weights.

7. The information handling process according to claim 5, wherein one or more of said booklet items in said second level comprises one or more booklet items in a third level, each of said booklet items having a value or weight or price or a combination of values weights and prices, and further comprising determining a roll-up value or weight or price or a combination of values weights and prices for the second level prior to determining the roll-up value for the first level.

8. The information handling process according to claim 5, wherein one or more of the observations comprise a plurality of atoms of information.

9. The information handling process according to claim 5, wherein the observations are collected by more than one input source, and wherein the observations are grouped by input source.

10. The information handling process according to claim 5, wherein the observations are attached to a root element

a) through marking or attaching a correlation coefficient or price or value or a combination of price weight and value

b) setting a roll-up level for calculating whether a trigger value has been reached

c) defining a trigger value for appending additional booklet items

d) setting a number of booklet items to be appended if a trigger value has been reached

11. The information handling process according to claim 5 wherein additional root elements are selected for research through the accumulation of observations that reach trigger values.

14. The information handling system of claim 7, wherein booklet items in different booklets and with observations from disparate, apparently unrelated sources may be correlated insofar as the booklet items refer to identical elements;

15. The information handling system of claim 7, wherein each of which application clusters provides specifications for the behavior of the information handling system when operating on information related to that application cluster, and to each booklet contained within the application cluster.

17. The information handling system of claim 14, wherein one or a plurality of booklets are related to each other in one or a plurality of application clusters that may be arranged into an hierarchical structure and can be rolled up to provide information about the application cluster or hub.

18. The information handling system of claim 15, wherein one or a plurality of application clusters are related to each other in one or a plurality of business processes or research domains that may be arranged into an hierarchical structure and can be rolled up to provide information about the hub category or business process or research domain.